{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"7f7a965f3a08","filters":{"venue":"Hogskolan Ihalmstad (Halmstad University)"}},"results":[{"id":"W7015996370","doi":"","title":"Tracking Sensor Measurement Errors in Alfa Laval’s Pureballast Machines","year":2024,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Ballast; Tracking (education); Smoothing; SAFER; Filter (signal processing); Flow sensor; Degradation (telecommunications); Condition monitoring","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01788164550125258,"gpt":0.1985623548008542,"spread":0.1806807092996016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996033,0.0004292717,0.0004059951,0.0008916316,0.0003686626,0.0006411554,0.0005655087,0.0004172931,0.0003881601],"category_scores_gemma":[0.003782736,0.000164534,0.0002351369,0.001035424,0.0002806414,0.0004396627,0.0004193292,0.0003119287,0.0001973586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007386626,"about_ca_system_score_gemma":0.0004614541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878273,"about_ca_topic_score_gemma":0.02962632,"domain_scores_codex":[0.9991678,0.00009356835,0.00005160465,0.000247652,0.0003656107,0.00007370689],"domain_scores_gemma":[0.9974836,0.0007480376,0.0006065887,0.0002389078,0.0008793698,0.00004367876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001096602,0.0003106965,0.5697603,0.0003143705,0.0001980746,0.000540251,0.001616116,0.07163975,0.07734522,0.0004182162,0.001806131,0.2749543],"study_design_scores_gemma":[0.00001617181,0.0004908022,0.6930282,0.00004244722,0.0000697823,0.000229061,0.0008505904,0.2479149,0.05428544,0.0004100168,0.002601486,0.00006113152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903724,0.00009222221,0.008574603,0.00004324083,0.0000101715,0.00001693083,0.0002908235,0.0001382062,0.0004613624],"genre_scores_gemma":[0.994791,0.00003689474,0.004372543,0.000009628046,0.000003249749,0.00001399824,0.0003065241,0.00001504091,0.0004511721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01878273,"threshold_uncertainty_score":0.03734684,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7070535911","doi":"","title":"Predicting the future summer range of a declining Arctic waterfowl: the Greenland White-fronted Goose (Anser albifrons flavirostris)","year":2022,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Goose; Range (aeronautics); Arctic; Climate change; Snow; The arctic","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01350236722173549,"gpt":0.1996194315412845,"spread":0.1861170643195491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001533346,0.000190004,0.0001412131,0.0002527206,0.0001901307,0.0004358256,0.0002212463,0.0003470769,0.000842497],"category_scores_gemma":[0.000322336,0.0001061314,0.0002356801,0.0001784917,0.0001076391,0.0003189371,0.0001856552,0.0001494219,0.000217884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004226757,"about_ca_system_score_gemma":0.0003791474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06221677,"about_ca_topic_score_gemma":0.09447987,"domain_scores_codex":[0.9999739,0.000004900011,0.000001106854,0.000008970918,0.000003470297,0.000007757],"domain_scores_gemma":[0.9999104,0.00002209491,0.00001485505,0.000004592056,0.00002192995,0.00002608715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001585386,0.00006958528,0.5104845,0.00004609727,0.0000875952,0.0003543805,0.0002200317,0.4625134,0.00533044,0.0004347351,0.001350891,0.01894983],"study_design_scores_gemma":[0.00001862268,0.00009326752,0.2303504,0.00002534466,0.00005722225,0.0001194058,0.00059828,0.7654849,0.0007423409,0.0006103701,0.001877919,0.0000220336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968553,0.00006123911,0.001720497,0.00008332087,0.000005759028,0.000003298699,0.0004169583,0.00003043314,0.0008232487],"genre_scores_gemma":[0.9971293,0.00007020659,0.001557036,0.00001839742,0.000003558156,0.000004228305,0.0006731437,0.000008104975,0.0005360904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06221677,"threshold_uncertainty_score":0.1237093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7061902233","doi":"","title":"Smart Alarm- On the performance characteristics of linear, multi-linear and non-linear tensor models for alarm prediction in multi-sensor data.","year":2022,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Downtime; Tensor decomposition; Predictive maintenance; ALARM; Convolutional neural network; False alarm; Representation (politics); Baseline (sea)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04268467948772814,"gpt":0.2257960675474403,"spread":0.1831113880597122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005246392,0.001994129,0.0007653386,0.0007657979,0.0004895329,0.0009444904,0.001055583,0.001505203,0.001709648],"category_scores_gemma":[0.01131235,0.0003827514,0.0009721618,0.0006944924,0.0006428104,0.002439995,0.001034679,0.002355903,0.0009837989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009766318,"about_ca_system_score_gemma":0.001153525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389072,"about_ca_topic_score_gemma":0.01564832,"domain_scores_codex":[0.9986365,0.000569423,0.00009487614,0.0002987901,0.0002842648,0.0001160495],"domain_scores_gemma":[0.9947274,0.003209442,0.0003745057,0.0006901201,0.0007751992,0.0002233609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001579942,0.0004324457,0.01246045,0.0005105069,0.0004675518,0.0001727871,0.0002328023,0.6127585,0.005475902,0.005401402,0.01160013,0.3489076],"study_design_scores_gemma":[0.000006990016,0.00009525601,0.001204043,0.00001334163,0.00001103269,0.00002317533,0.00001610207,0.995905,0.0008031499,0.001505582,0.0004031941,0.00001320026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2681389,0.0136021,0.6987296,0.003163219,0.0009478242,0.0002256008,0.002274077,0.008175047,0.004743689],"genre_scores_gemma":[0.8673293,0.001700017,0.1230313,0.0005570573,0.0002052885,0.00008378254,0.003310731,0.0002467249,0.003535877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01389072,"threshold_uncertainty_score":0.02774584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7005826736","doi":"","title":"sEEnergies special report : Construction costs of new district heating networks in France","year":2022,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Work (physics); Marginal cost; Heating system; Market penetration; Service (business); Total cost; Penetration rate; Quarter (Canadian coin); Distribution (mathematics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.004047372963622215,"gpt":0.1588187187745738,"spread":0.1547713458109516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009289799,0.0007207539,0.0004724957,0.002095547,0.0003257838,0.001697889,0.0004684984,0.0004496419,0.003940708],"category_scores_gemma":[0.001736603,0.0002423539,0.0009386873,0.001280632,0.0001664325,0.0008426423,0.0004041279,0.0004085964,0.0005480447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004323259,"about_ca_system_score_gemma":0.001062902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05665429,"about_ca_topic_score_gemma":0.05645275,"domain_scores_codex":[0.9989848,0.0002215843,0.00003931037,0.0001710038,0.0004899527,0.00009338203],"domain_scores_gemma":[0.9989812,0.0004029439,0.0001871716,0.00008996159,0.0002748365,0.00006387889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003298006,0.0001725199,0.09873653,0.0005762515,0.0003368848,0.0006344567,0.0003037204,0.7034443,0.005138795,0.007126439,0.01161813,0.1715822],"study_design_scores_gemma":[0.0001236453,0.0009377835,0.4974263,0.0002021826,0.0002605567,0.001264604,0.0008086778,0.3695726,0.01363434,0.002066393,0.1135264,0.0001765488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205987,0.002153239,0.0256489,0.0002995316,0.00009893408,0.0001814003,0.0203642,0.0006313045,0.03002384],"genre_scores_gemma":[0.9376569,0.001728462,0.02313003,0.00003815514,0.000043683,0.000183982,0.0219206,0.0001703242,0.01512774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05665429,"threshold_uncertainty_score":0.112649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7030149366","doi":"","title":"Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB","year":2024,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pairwise comparison; Similarity (geometry); Structural motif; Pattern recognition (psychology); Matrix (chemical analysis); Bridging (networking); Group (periodic table)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01132290235024775,"gpt":0.19759105099953,"spread":0.1862681486492823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096568,0.0004567469,0.0004367074,0.00147538,0.0008431282,0.001070984,0.001032072,0.001461875,0.0007152638],"category_scores_gemma":[0.003146577,0.0001793677,0.0004509507,0.001494269,0.0005594765,0.000719011,0.0005593126,0.0007299063,0.000330879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041272,"about_ca_system_score_gemma":0.0007192701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519752,"about_ca_topic_score_gemma":0.03105725,"domain_scores_codex":[0.9991554,0.0001631814,0.00006566094,0.0001865792,0.0003119844,0.0001173221],"domain_scores_gemma":[0.9971753,0.001398332,0.0003549954,0.0002173087,0.0005469394,0.0003071067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001926575,0.002551658,0.4943751,0.001241332,0.0004480651,0.06229364,0.009458168,0.1005825,0.033948,0.004847394,0.02794178,0.2603858],"study_design_scores_gemma":[0.0002007216,0.001234374,0.4802383,0.0003228105,0.0001975266,0.007833414,0.02147151,0.3939476,0.02704808,0.005923695,0.06134611,0.0002359621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989095,0.0004691283,0.006269547,0.00114448,0.00004575498,0.00006310298,0.001214623,0.0002172785,0.00148104],"genre_scores_gemma":[0.9827898,0.0003344993,0.01333075,0.0001004913,0.00005211935,0.00004348825,0.001558354,0.00004895777,0.001741506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02519752,"threshold_uncertainty_score":0.0501017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7014887648","doi":"","title":"Relative age effect in European female athletes in different sports; a systematic review","year":2021,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Athletes; Quarter (Canadian coin); Context (archaeology); Competition (biology); Age groups; Young adult","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01442767700809148,"gpt":0.2566632196781082,"spread":0.2422355426700167,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02050725,0.0008550028,0.005681506,0.008349945,0.0004360718,0.002335106,0.001040352,0.001917565,0.002685935],"category_scores_gemma":[0.08067743,0.0008201372,0.007095988,0.005656906,0.0008995904,0.002099828,0.001330447,0.0008917268,0.0001839515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925383,"about_ca_system_score_gemma":0.005073917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006294822,"about_ca_topic_score_gemma":0.01705289,"domain_scores_codex":[0.9810169,0.00721273,0.007540779,0.001797652,0.00210974,0.0003221696],"domain_scores_gemma":[0.9273519,0.05788909,0.01069751,0.000892607,0.002876725,0.0002922365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006562349,0.00003144041,0.01100762,0.9033987,0.04141771,0.0001907486,0.0003799442,0.0001295271,0.0001546658,0.0006234695,0.001353312,0.04065662],"study_design_scores_gemma":[0.0005068836,0.0004221157,0.04786686,0.7538897,0.1732029,0.0009780207,0.0005975802,0.0001339637,0.0003007457,0.0006865454,0.02135654,0.0000580872],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003639583,0.9949366,0.0002283278,0.0001846871,0.0001398532,0.0001550712,0.0004784009,0.000004205826,0.0002332919],"genre_scores_gemma":[0.1201856,0.8747042,0.001680456,0.001333574,0.0002438378,0.0009726351,0.0006692676,0.00001116816,0.0001993407],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02050725,"threshold_uncertainty_score":0.108454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7065017813","doi":"","title":"Detecting and Imputing Hidden Missing Values in Time Series Data : Case study: Alfa Laval","year":2024,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Missing data; Imputation (statistics); Time series; Series (stratigraphy); Interpolation (computer graphics); Identification (biology)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02105125876847465,"gpt":0.2420539003841781,"spread":0.2210026416157035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002233143,0.0006382077,0.0004960307,0.001257888,0.001289971,0.001267002,0.00207643,0.001418692,0.0007523725],"category_scores_gemma":[0.006776786,0.0001679987,0.0006567508,0.00251853,0.0009465967,0.001270612,0.000902432,0.001178021,0.0003536011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850652,"about_ca_system_score_gemma":0.001589485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1129189,"about_ca_topic_score_gemma":0.1382057,"domain_scores_codex":[0.998719,0.0003006892,0.0001120773,0.0002771989,0.0004067941,0.0001843228],"domain_scores_gemma":[0.9957001,0.001866452,0.0004008288,0.0007559489,0.00100899,0.0002676275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002108466,0.001890164,0.499537,0.001007279,0.0006636959,0.01938577,0.004457286,0.1387542,0.008732933,0.007484998,0.09739213,0.2185862],"study_design_scores_gemma":[0.0004724856,0.0007754271,0.3688,0.0003093823,0.0002877313,0.00263815,0.01075795,0.491235,0.02103728,0.00839199,0.09502503,0.0002695898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9785814,0.000455702,0.004951012,0.002621642,0.00009929646,0.0001129409,0.008503776,0.0008230156,0.003851317],"genre_scores_gemma":[0.972043,0.0002981366,0.01298103,0.0002757979,0.00009179056,0.00009679116,0.01229772,0.00007184051,0.001843977],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1129189,"threshold_uncertainty_score":0.2245233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7112265169","doi":"","title":"Existence of Earnings management in valuation at fair value : A study on the application of IAS 41 in forest industry in Sweden and Canada","year":2021,"lang":"sv","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Valuation (finance); Earnings; Market value; Business management","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04823333887543012,"gpt":0.2703766244753518,"spread":0.2221432855999217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00191337,0.000167805,0.0002832564,0.001519918,0.004743268,0.003732378,0.0008407864,0.0004656205,0.002630959],"category_scores_gemma":[0.006043307,0.0001565334,0.0003693124,0.002864636,0.002024435,0.000832668,0.001055239,0.0007927015,0.000224392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0473493,"about_ca_system_score_gemma":0.0461257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830166,"about_ca_topic_score_gemma":0.989253,"domain_scores_codex":[0.9978769,0.0002676328,0.00007768137,0.0001770388,0.0008351678,0.0007656438],"domain_scores_gemma":[0.9946689,0.0009132508,0.0006251131,0.0001596342,0.002324383,0.001308669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003893823,0.0004309971,0.8985352,0.00008064546,0.00004471838,0.0006214711,0.03964861,0.001366074,0.001442824,0.005962639,0.002179061,0.04929838],"study_design_scores_gemma":[0.00000698048,0.00008019408,0.9476011,0.00003816995,0.00001841562,0.00005893941,0.04398166,0.000833136,0.0002975281,0.0002642988,0.006790436,0.00002919104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929598,0.00016618,0.00007248495,0.0001984279,0.000003884251,0.0000247709,0.0001187066,0.000003047708,0.006452756],"genre_scores_gemma":[0.9954685,0.0001719334,0.0001131667,0.00003149526,0.000001878842,0.00000771302,0.0001336476,0.000003135385,0.004068409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0473493,"threshold_uncertainty_score":0.3435448,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7028539617","doi":"","title":"An Experimental Study on ObjectTracking","year":2025,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Particle filter; Robustness (evolution); Kalman filter; Bounding overwatch; Adverse weather; Tracking (education); Tracking system","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02356571985866551,"gpt":0.3024380936203891,"spread":0.2788723737617236,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130113,0.0009646032,0.0008140144,0.0006828103,0.001029661,0.001241001,0.001444382,0.001455369,0.007027939],"category_scores_gemma":[0.008964324,0.0004366944,0.0006036044,0.0009841354,0.0009128972,0.001762121,0.001562627,0.0009929711,0.001837224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006619885,"about_ca_system_score_gemma":0.0009347551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004762209,"about_ca_topic_score_gemma":0.005164359,"domain_scores_codex":[0.9977534,0.000369314,0.0001970481,0.0008303751,0.0006185595,0.0002312014],"domain_scores_gemma":[0.9941215,0.00251146,0.0004031065,0.001422753,0.001299876,0.0002413701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006501277,0.007416391,0.03152645,0.002437819,0.000476143,0.001327138,0.001962112,0.09387415,0.3514456,0.009004978,0.01718711,0.4768409],"study_design_scores_gemma":[0.0007163547,0.01010235,0.05297082,0.0004818039,0.0003671517,0.001696838,0.001800199,0.4971661,0.372071,0.01010902,0.05223142,0.0002868738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156493,0.001055901,0.160483,0.0004388677,0.0007287641,0.0008988506,0.003834405,0.002735631,0.01417528],"genre_scores_gemma":[0.8525311,0.0007837344,0.1269933,0.0003830801,0.00007540044,0.000795134,0.008406326,0.0004342164,0.009597785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007027939,"threshold_uncertainty_score":0.02351087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6996344962","doi":"","title":"The role of the Countries' Institutional Quality on the relationship between Companies' Environmental, Social, and Governance (ESG) and Financial Performance","year":2023,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Corporate governance; Quality (philosophy); Panel data; Transaction cost; Positive relationship; Institutional investor; Regression analysis; Good governance","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04065503386045131,"gpt":0.2264489053376387,"spread":0.1857938714771874,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002453543,0.0002435877,0.0002737029,0.0012546,0.0003811549,0.001955673,0.0002432843,0.0003070494,0.001643085],"category_scores_gemma":[0.005857675,0.0001273936,0.0004352756,0.002037851,0.000901643,0.0009029227,0.001191889,0.0005863897,0.000150939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071939,"about_ca_system_score_gemma":0.0007933359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467013,"about_ca_topic_score_gemma":0.02237906,"domain_scores_codex":[0.9986627,0.0004920138,0.0001187057,0.000188715,0.0001815117,0.0003562901],"domain_scores_gemma":[0.9877437,0.003901465,0.005692515,0.0006246644,0.001066339,0.0009713293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004073529,0.00002981497,0.992833,0.0000269031,0.0001585541,0.00009630834,0.0002228735,0.001104414,0.0001169306,0.0009388834,0.0001987313,0.004232862],"study_design_scores_gemma":[0.00000235689,0.00004231131,0.9976942,0.00003132215,0.00006075126,0.00002361954,0.0005211261,0.0006781964,0.0001780435,0.0001723134,0.0005890978,0.000006593496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950061,0.0005287734,0.000375337,0.0002442115,0.000009757919,0.00001134434,0.0005457326,0.000004941443,0.003273838],"genre_scores_gemma":[0.9993758,0.0001187281,0.00007433425,0.00001568105,0.0000055177,0.000003020317,0.0002333375,0.000001302148,0.000172343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467013,"threshold_uncertainty_score":0.0291695,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6983732978","doi":"","title":"Non-Basketball Features in the NBA: Machine Learning and SHAP Analysis of Player Contracts and Team Priorities","year":2025,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Basketball; Reliability (semiconductor); Feature (linguistics); Test (biology); Predictive modelling","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.00784110200828577,"gpt":0.1918149484334652,"spread":0.1839738464251795,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004400366,0.0006524483,0.0006410644,0.001714396,0.0005530703,0.001454843,0.0009869706,0.0007960265,0.001730219],"category_scores_gemma":[0.01358957,0.0001787668,0.0006145496,0.001237767,0.0005302886,0.001568295,0.0009309833,0.001823309,0.0003728568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545421,"about_ca_system_score_gemma":0.001238108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042407,"about_ca_topic_score_gemma":0.008994137,"domain_scores_codex":[0.9990233,0.0004043263,0.00005672379,0.0002115275,0.0001758994,0.0001282234],"domain_scores_gemma":[0.9942566,0.00350943,0.000527847,0.0005190161,0.0007424572,0.000444765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009334055,0.001095615,0.3889749,0.0001287279,0.0003429109,0.0002248657,0.0006793525,0.4120468,0.0009895338,0.01008495,0.007265789,0.1772331],"study_design_scores_gemma":[0.00001585557,0.0000853266,0.02079756,0.00002133999,0.00001962139,0.00002427556,0.0002018447,0.9727094,0.0004226482,0.005079743,0.0006099346,0.00001235602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967015,0.0003323564,0.02638028,0.0008253544,0.00005543389,0.00006802638,0.0008103977,0.0001961509,0.004316939],"genre_scores_gemma":[0.9914636,0.00004703515,0.006473532,0.0000479525,0.00002003204,0.00002212727,0.001045677,0.00001227888,0.0008678117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01042407,"threshold_uncertainty_score":0.02327168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7026651863","doi":"","title":"Artificiell intelligens i textilsortering: Möjligheter och utmaningar i återvinningssystemet : En kvalitativ studie om AI:s roll i textilindustrins återvinningssystem","year":2025,"lang":"sv","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Element (criminal law); Work (physics); Soft skills","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0203176056963558,"gpt":0.245692635326128,"spread":0.2253750296297722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009679413,0.001030517,0.0007760046,0.001710018,0.001758899,0.01184346,0.001759822,0.002180242,0.02702113],"category_scores_gemma":[0.03237936,0.0005193942,0.001216814,0.001608033,0.002309491,0.01140406,0.004098204,0.002885929,0.01087443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002615802,"about_ca_system_score_gemma":0.003530511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368336,"about_ca_topic_score_gemma":0.005524791,"domain_scores_codex":[0.9900045,0.003317725,0.0007750528,0.001446207,0.003983965,0.0004726007],"domain_scores_gemma":[0.9707428,0.01844416,0.001476314,0.002931027,0.005242355,0.001163398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001064615,0.001149011,0.01985773,0.008462896,0.0003083821,0.0005010359,0.03047049,0.0033634,0.02158029,0.03181196,0.04571281,0.8357173],"study_design_scores_gemma":[0.0001876946,0.001735218,0.04789364,0.005168959,0.0006207875,0.001344447,0.02968392,0.009848709,0.03390964,0.03896574,0.8302895,0.0003517258],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3852638,0.0407783,0.1778829,0.02449386,0.002110469,0.003204991,0.003440927,0.004489784,0.358335],"genre_scores_gemma":[0.6682101,0.02488482,0.1431708,0.006260698,0.000848143,0.001854944,0.005153491,0.001318734,0.1482983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02702113,"threshold_uncertainty_score":0.09039474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}