{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"d2f6cc2d7cd3","filters":{"venue":"Wydawnictwo Politechniki Łódzkiej"}},"results":[{"id":"W6908830659","doi":"10.34658/9788367934039.127","title":"Re-imagining Crowsnest Pass: Findings ways of redeveloping/reskilling a coal mining community","year":2024,"lang":"en","type":"article","venue":"Wydawnictwo Politechniki Łódzkiej","topic":"Social Policies and Healthcare Reform","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Redevelopment; Experiential learning; Citizen journalism; Face (sociological concept); Investment (military); Community engagement; Climate change; Natural (archaeology); Coal mining","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2103711206614013,"gpt":0.4688641098740306,"spread":0.2584929892126293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02282387,0.0006385929,0.0006779811,0.003191153,0.02117805,0.01197957,0.003343253,0.003214644,0.002889378],"category_scores_gemma":[0.03279979,0.0008153326,0.0003651598,0.002675354,0.02964525,0.007251016,0.01522849,0.00713638,0.0004002055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01839098,"about_ca_system_score_gemma":0.05164317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09890182,"about_ca_topic_score_gemma":0.1849449,"domain_scores_codex":[0.9804554,0.0130763,0.0004020725,0.001071358,0.002299969,0.002694901],"domain_scores_gemma":[0.9747393,0.01590182,0.001596107,0.001226126,0.002543506,0.003993262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000009125219,0.00003677659,0.001241855,0.00005912191,0.000002351852,0.0002398051,0.9873536,0.00001262622,0.00016128,0.00330288,0.001396131,0.006184577],"study_design_scores_gemma":[0.000001238783,0.00001434905,0.0009783402,0.00007443646,0.00000175522,0.0000313286,0.9909074,0.00001120795,0.00009178668,0.0003472469,0.007535363,0.000005645575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520284,0.0009213889,0.001504518,0.02047219,0.0001953539,0.000337406,0.00006740662,0.00003531307,0.02443805],"genre_scores_gemma":[0.9819812,0.0009015858,0.001273545,0.003275604,0.00002685327,0.0002019954,0.00004772612,0.00004703408,0.0122445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09890182,"threshold_uncertainty_score":0.1966523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6965516837","doi":"10.34658/9788367934039.106","title":"Political, legal and administrative conditions for urban ecological tissue renewal: an investigation of a national wetland park in China","year":2024,"lang":"en","type":"article","venue":"Wydawnictwo Politechniki Łódzkiej","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Sustainability; Indigenous; Corporate governance; China; Population; Natural resource; Environmental governance; Property rights; Economic Justice","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02248089233939301,"gpt":0.317555805184973,"spread":0.29507491284558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009591559,0.00008077931,0.0001744753,0.0009328031,0.003706728,0.001338039,0.0005961512,0.0003741607,0.001746357],"category_scores_gemma":[0.001541231,0.0001817128,0.0001599211,0.001225384,0.002555217,0.0007052137,0.001620633,0.0005449397,0.00006591164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005429209,"about_ca_system_score_gemma":0.00632356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1305853,"about_ca_topic_score_gemma":0.3549487,"domain_scores_codex":[0.9993588,0.0001800097,0.0000226512,0.00005310693,0.0001034721,0.0002819158],"domain_scores_gemma":[0.998684,0.0004462065,0.0003389766,0.00007304123,0.0001352662,0.0003225458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007768381,0.0003032356,0.8630043,0.00004114291,0.00002147173,0.002272023,0.1114192,0.000445962,0.001344946,0.00896491,0.0006078708,0.01149723],"study_design_scores_gemma":[0.000007309391,0.00006088676,0.8452333,0.00001761606,0.000009965279,0.0001963435,0.1506374,0.0007176377,0.0001839496,0.0004979688,0.002425432,0.00001228977],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992906,0.000007392077,0.00001502993,0.00006559915,3.753916e-7,0.000004171472,0.000005851145,3.139462e-7,0.0006107728],"genre_scores_gemma":[0.9997039,0.00001350327,0.00002178363,0.00001558876,7.495014e-7,0.000004437328,0.000009793766,2.978248e-7,0.000229839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1305853,"threshold_uncertainty_score":0.2596504,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6889893720","doi":"10.34658/9788367934039.112","title":"The Causes and Consequences of School Closures in Inner-City Calgary","year":2024,"lang":"en","type":"article","venue":"Wydawnictwo Politechniki Łódzkiej","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Neighbourhood (mathematics); Typology; Government (linguistics); Infill; Metropolitan area; Population","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04176201779780107,"gpt":0.3415762603777699,"spread":0.2998142425799689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001849277,0.0002365922,0.0005065381,0.004294683,0.005572294,0.002893425,0.00187275,0.0009675283,0.001808198],"category_scores_gemma":[0.005901393,0.0005201079,0.0004236487,0.006443293,0.005196433,0.001388847,0.005531035,0.002066287,0.0001389783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0126483,"about_ca_system_score_gemma":0.007576395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6020963,"about_ca_topic_score_gemma":0.7258081,"domain_scores_codex":[0.9980704,0.0002918983,0.0001033048,0.0002432358,0.0004166885,0.0008745703],"domain_scores_gemma":[0.995518,0.0005673994,0.002055661,0.0002712136,0.0007638671,0.0008238086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009011086,0.0001258841,0.8896284,0.00014654,0.00006381285,0.00310485,0.07358416,0.0005290397,0.000298011,0.002673041,0.00273079,0.02702535],"study_design_scores_gemma":[0.000002326536,0.00002245647,0.9515098,0.0001050806,0.00001078548,0.0002297099,0.04540068,0.00009286253,0.00004381277,0.0001664788,0.002405718,0.00001036093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954208,0.001208446,0.00005482549,0.0008133519,0.00002227649,0.00002070025,0.0001341584,0.000004688101,0.002320652],"genre_scores_gemma":[0.9977081,0.001360963,0.00004384469,0.0001075163,0.00001537362,0.00001288214,0.0001972403,0.000004021472,0.0005500566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3979037,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7115927221","doi":"10.34658/9788367934886.w8.4.719-743","title":"PROGNOZOWANIE SZEREGÓW CZASOWYCH ZA POMOCĄ GŁĘBOKO UCZONYCH SZTUCZNYCH SIECI NEURONOWYCH NA PRZYKŁADZIE RYNKU ENERGII ELEKTRYCZNEJ","year":2025,"lang":"","type":"article","venue":"Wydawnictwo Politechniki Łódzkiej","topic":"Energy Load and Power Forecasting","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":"Energy (signal processing); Transmission network; New energy","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.008932960990674262,"gpt":0.2367177157817549,"spread":0.2277847547910806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001841899,0.0007746126,0.0008249961,0.0015464,0.001220513,0.005229068,0.001202371,0.001514523,0.03151261],"category_scores_gemma":[0.006488663,0.000495858,0.001278697,0.001770411,0.00135841,0.00346697,0.002962534,0.002203674,0.004655326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003958884,"about_ca_system_score_gemma":0.006629038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0347264,"about_ca_topic_score_gemma":0.03424567,"domain_scores_codex":[0.9986053,0.0002005812,0.0001196691,0.0003631163,0.0003722148,0.0003390879],"domain_scores_gemma":[0.9975976,0.000574421,0.0004602913,0.0002602308,0.0007491098,0.000358279],"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":[0.001416004,0.000455118,0.4304163,0.002064332,0.001060415,0.003582882,0.005111541,0.1064939,0.008864484,0.1519918,0.0580614,0.2304819],"study_design_scores_gemma":[0.0002629058,0.0006264108,0.4030384,0.001360417,0.0009009663,0.00300396,0.01790079,0.08598008,0.007666584,0.2908036,0.1879327,0.0005231762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6510757,0.007911696,0.1261969,0.02796061,0.0007959401,0.0006058679,0.02344095,0.00171538,0.160297],"genre_scores_gemma":[0.9545631,0.003657523,0.008177788,0.0005176347,0.0000896168,0.0002673038,0.005004634,0.0002235348,0.02749886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0347264,"threshold_uncertainty_score":0.1054202,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6908834966","doi":"10.34658/9788366741928.8","title":"Recognition of Shoplifting Activities in CCTV Footage Using the Combined CNN-RNN Model","year":2023,"lang":"en","type":"article","venue":"Wydawnictwo Politechniki Łódzkiej","topic":"Language and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Convolutional neural network; Classifier (UML); Activity recognition; Frame (networking); Pattern recognition (psychology); Feature extraction; Artificial neural network","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.07611680355208153,"gpt":0.3507950242400595,"spread":0.274678220687978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001455861,0.0006628449,0.0003685397,0.0006697968,0.0001652989,0.0003445129,0.0004451094,0.0004149933,0.00133955],"category_scores_gemma":[0.0003595058,0.0001928806,0.0004101222,0.0004336732,0.00009489227,0.0003564352,0.0002736833,0.0003913308,0.0007005482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003941175,"about_ca_system_score_gemma":0.0004017705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355928,"about_ca_topic_score_gemma":0.03449492,"domain_scores_codex":[0.9998685,0.000008841576,0.000005283354,0.00004630861,0.00003390215,0.00003716544],"domain_scores_gemma":[0.9999156,0.00001006575,0.00001177451,0.000008568286,0.00004506391,0.000008912964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004387168,0.000376432,0.02162011,0.0001895083,0.0002361971,0.0006821618,0.0001121416,0.139417,0.09079853,0.0007481219,0.008183726,0.7371974],"study_design_scores_gemma":[0.000005209029,0.00005327527,0.009948606,0.0000159854,0.00003522681,0.00009398324,0.00003061466,0.9804639,0.008318763,0.0002291008,0.0007936138,0.00001170894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5645306,0.001816328,0.4148137,0.0003418495,0.0005057881,0.0001581855,0.001924147,0.003347936,0.01256151],"genre_scores_gemma":[0.9462307,0.0004864773,0.04504552,0.00008831234,0.00007633793,0.00005096378,0.001723358,0.00003684371,0.006261331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02355928,"threshold_uncertainty_score":0.0468443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}