{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"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":"854e14ddf30b","filters":{"venue":"IISE Transactions on Healthcare Systems Engineering"}},"results":[{"id":"W2913097035","doi":"10.1080/24725579.2018.1442376","title":"Improving access to chemotherapy through enhanced capacity planning and patient scheduling","year":2019,"lang":"en","type":"article","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia; University of Ottawa; BC Cancer Agency; University of Calgary","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Overtime; Staffing; Scheduling (production processes); Operations management; Business; Medicine; Computer science; Nursing; Engineering; Political science","authors":[{"name":"Emma Liu","is_ca":true},{"name":"Xiang Ma","is_ca":true},{"name":"Antoine Sauré","is_ca":true},{"name":"Leah L. Weber","is_ca":true},{"name":"Martin L. Puterman","is_ca":true},{"name":"Scott Tyldesley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05334967754585723,"gpt":0.3624538458898413,"spread":0.309104168343984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00273769,0.0004785435,0.000330194,0.0005835076,0.0004686347,0.00152869,0.001013603,0.0005871856,0.003372988],"category_scores_gemma":[0.01135303,0.000275251,0.0003789324,0.0009048248,0.0005786347,0.001113421,0.001159496,0.0008183569,0.0001410246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002845705,"about_ca_system_score_gemma":0.009716112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0416367,"about_ca_topic_score_gemma":0.04688566,"domain_scores_codex":[0.9978255,0.001277995,0.0000608362,0.0001519005,0.0003286105,0.0003551654],"domain_scores_gemma":[0.9942709,0.003832429,0.0007572338,0.0002891326,0.0004253948,0.0004249218],"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":[0.0002487648,0.0004208213,0.009466253,0.00006716036,0.00004568149,0.0001016181,0.0003789417,0.9428289,0.002171118,0.008456477,0.001040584,0.03477359],"study_design_scores_gemma":[0.0001060831,0.0002899718,0.00560967,0.00002594497,0.00003911224,0.00004525815,0.0006214436,0.9777237,0.001640686,0.01138907,0.002476662,0.00003246052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.756723,0.0003167503,0.218346,0.003147585,0.0000715998,0.0005622508,0.0003379589,0.0002851131,0.02020976],"genre_scores_gemma":[0.9762486,0.00007579306,0.02292001,0.00004910945,0.000009176258,0.00006717717,0.0000494087,0.00001072434,0.0005700479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0416367,"threshold_uncertainty_score":0.08278871,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362555395","doi":"10.1080/24725579.2023.2188319","title":"Mapping the process of ICU care delivery to improve treatment decisions in acute respiratory failure","year":2023,"lang":"en","type":"article","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Sinai Health System; University of Toronto","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Intensive care medicine; Acute respiratory failure; Respiratory failure; Process (computing); Medicine; Medical emergency; Computer science; Mechanical ventilation; Anesthesia","authors":[{"name":"Jacqueline M. Kruser","is_ca":false},{"name":"Elizabeth M. Viglianti","is_ca":false},{"name":"Ruben Mylvaganam","is_ca":false},{"name":"Kristyn A. Krolikowski","is_ca":false},{"name":"Rebeca Khorzad","is_ca":false},{"name":"Michael E. Detsky","is_ca":true},{"name":"Douglas A. Wiegmann","is_ca":false},{"name":"Richard G. Wunderink","is_ca":false},{"name":"Jane L. Holl","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08219542120465727,"gpt":0.3602599895350865,"spread":0.2780645683304292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01079859,0.0004148491,0.0001523673,0.00197332,0.002046072,0.002696294,0.0008307616,0.0007631504,0.001549274],"category_scores_gemma":[0.03221198,0.000259751,0.0004176192,0.001325543,0.002022587,0.003561913,0.002387449,0.0006482942,0.0002262576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682206,"about_ca_system_score_gemma":0.006063755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005931778,"about_ca_topic_score_gemma":0.00568955,"domain_scores_codex":[0.9911896,0.007393159,0.0002635489,0.0003062859,0.0005242557,0.0003231799],"domain_scores_gemma":[0.9860024,0.01023871,0.001457122,0.0007593379,0.001203586,0.0003387714],"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":[0.0005225415,0.0007476942,0.1339884,0.001731481,0.00009680105,0.000737538,0.30376,0.02296334,0.005935161,0.02837604,0.0020099,0.4991311],"study_design_scores_gemma":[0.000213315,0.001318512,0.1432159,0.002498198,0.0001498766,0.000874407,0.5530657,0.1261158,0.01811304,0.1095022,0.04471936,0.0002136471],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869526,0.0007076302,0.113753,0.002396191,0.0000280095,0.0007846011,0.0001316802,0.0001787692,0.0124941],"genre_scores_gemma":[0.940281,0.0003768293,0.0584379,0.00006607486,0.000003884431,0.0002809027,0.00007735719,0.00001637929,0.0004596773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079859,"threshold_uncertainty_score":0.05710906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4284887205","doi":"10.1080/24725579.2022.2032486","title":"Innovative use of operational tools to improve care delivery for the uninsured ESRD patients and to inform healthcare policy-makers","year":2022,"lang":"en","type":"article","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":3,"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":"Health care; Healthcare delivery; Business; Health care delivery; Medical emergency; Nursing; Medicine; Process management; Economic growth; Economics","authors":[{"name":"Farnaz Nourbakhsh","is_ca":false},{"name":"Olga Bountali","is_ca":true},{"name":"Sıla Çetinkaya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06315173628555083,"gpt":0.3573509839633838,"spread":0.294199247677833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04706759,0.002130828,0.000912762,0.006039135,0.001799024,0.01352545,0.003813948,0.002455937,0.0156769],"category_scores_gemma":[0.1377236,0.0005549513,0.001537613,0.005479683,0.002629939,0.01460377,0.008135352,0.004183702,0.004222153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006672372,"about_ca_system_score_gemma":0.02148236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006923508,"about_ca_topic_score_gemma":0.004550168,"domain_scores_codex":[0.9646546,0.02511007,0.002206284,0.001450945,0.004990111,0.001588015],"domain_scores_gemma":[0.9074412,0.04932395,0.009260211,0.008224837,0.01953452,0.006215251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002789007,0.001006937,0.03111645,0.002014973,0.0002208179,0.0002529816,0.00468717,0.007680115,0.0009866161,0.1637655,0.1224054,0.6655841],"study_design_scores_gemma":[0.0003326443,0.001364448,0.02778441,0.01067759,0.0004862497,0.0003834319,0.02230588,0.05358148,0.004548158,0.3714257,0.5066373,0.0004728094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05174805,0.01217045,0.3993686,0.3124262,0.005526338,0.002928141,0.006369684,0.008246911,0.2012157],"genre_scores_gemma":[0.472124,0.01151304,0.4790141,0.01807794,0.001997936,0.002861093,0.005024004,0.0009640891,0.008423796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04706759,"threshold_uncertainty_score":0.2489201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393030810","doi":"10.1080/24725579.2024.2322959","title":"A systematic review of computer simulation modelling methods in optimizing acute ischemic stroke treatment services","year":2024,"lang":"en","type":"review","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Ischemic stroke; Medicine; Stroke (engine); Computer science; Intensive care medicine; Cardiology; Engineering; Ischemia; Mechanical engineering","authors":[{"name":"Gizem Koca","is_ca":true},{"name":"Mukesh Kumar","is_ca":true},{"name":"Noreen Kamal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05536362986255743,"gpt":0.3923746779332003,"spread":0.3370110480706429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02352248,0.002803692,0.007002393,0.01451291,0.0008736957,0.004560627,0.003768266,0.002559779,0.006385397],"category_scores_gemma":[0.09851743,0.001592401,0.0134233,0.01466396,0.0009933019,0.003033168,0.002047928,0.001892905,0.000611541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007732132,"about_ca_system_score_gemma":0.02572954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678781,"about_ca_topic_score_gemma":0.03789772,"domain_scores_codex":[0.9749815,0.01328684,0.006919355,0.001030446,0.003507621,0.0002742472],"domain_scores_gemma":[0.9072707,0.07878596,0.006747071,0.001351532,0.005485829,0.0003589449],"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":[0.0001558735,0.00002798357,0.000527409,0.9076791,0.006901646,0.00008501919,0.0002529242,0.001278607,0.00006921311,0.001000126,0.001912812,0.08010917],"study_design_scores_gemma":[0.0001825053,0.0001707025,0.001076168,0.9449897,0.03017336,0.0001436793,0.0002173792,0.0008319482,0.0001329733,0.0007670232,0.02126542,0.00004900624],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000751606,0.9956911,0.001274248,0.0003703445,0.0001668237,0.0006928917,0.0004425037,0.00002636359,0.0005840345],"genre_scores_gemma":[0.01119351,0.9831905,0.003651186,0.0003092886,0.00007092252,0.001217779,0.000248496,0.00001449083,0.0001038973],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02352248,"threshold_uncertainty_score":0.1244003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366279575","doi":"10.1080/24725579.2023.2202877","title":"A novel sparse linear mixed model for multi-source mixed-frequency data fusion in telemedicine","year":2023,"lang":"en","type":"article","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Johns Hopkins University Press; York University; National Institutes of Health; Case Western Reserve University; Johns Hopkins University; University of Minnesota; State University of New York; University of California, Davis; University of Arizona; University of Washington; National Heart, Lung, and Blood Institute; Boston University; New York University","keywords":"Feature selection; Computer science; Generalized linear mixed model; Cholesky decomposition; Bottleneck; Artificial intelligence; Machine learning; Missing data; Expectation–maximization algorithm; Data mining; Statistics; Mathematics","authors":[{"name":"Wesam Alramadeen","is_ca":false},{"name":"Yu Ding","is_ca":false},{"name":"Carlos Costa","is_ca":false},{"name":"Bing Si","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1198289209991058,"gpt":0.345652087388289,"spread":0.2258231663891832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002416578,0.00102719,0.001399988,0.0006732348,0.0004496492,0.001282717,0.001907749,0.001756889,0.002578909],"category_scores_gemma":[0.004613359,0.0006777705,0.002088937,0.001308189,0.0007405801,0.001675121,0.001531599,0.002136592,0.0007844084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006401608,"about_ca_system_score_gemma":0.00110182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005280775,"about_ca_topic_score_gemma":0.004598995,"domain_scores_codex":[0.9984425,0.0007265537,0.00009528402,0.0003647272,0.0002633552,0.0001075012],"domain_scores_gemma":[0.9986185,0.0008767717,0.0001309426,0.00007843718,0.0002476519,0.00004778737],"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":[0.0002592066,0.0001108869,0.002145075,0.0004145398,0.0003002626,0.0002581943,0.0002163795,0.7914047,0.005024672,0.03406316,0.004790539,0.1610124],"study_design_scores_gemma":[0.000008265568,0.0000330004,0.0001737924,0.00001254979,0.00001770716,0.00003140993,0.00001070255,0.9935228,0.0003644349,0.004558853,0.001254259,0.00001219565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001887642,0.0002832736,0.9970431,0.0001664994,0.00004302028,0.0000252229,0.00008831036,0.0001335537,0.0003293464],"genre_scores_gemma":[0.3527083,0.001620055,0.6357534,0.000806025,0.000379329,0.0006986916,0.001543778,0.0001903065,0.006300092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005280775,"threshold_uncertainty_score":0.01278025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4284893856","doi":"10.1080/24725579.2022.2027051","title":"Optimization of sliding windows IMRT treatment planning","year":2022,"lang":"en","type":"article","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Grand River Hospital; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Collimator; Radiation treatment planning; Linear particle accelerator; Process (computing); Radiation; Computer science; Radiation therapy; Irradiation; Beam (structure); Simulation; Optics; Physics; Medicine; Radiology","authors":[{"name":"Rafiq R. Habib","is_ca":true},{"name":"Jessie Yeung","is_ca":true},{"name":"Johnson Darko","is_ca":true},{"name":"Ernest Osei","is_ca":true},{"name":"Houra Mahmoudzadeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01738844105712398,"gpt":0.2761862202576353,"spread":0.2587977792005113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006726412,0.0006169875,0.0006306692,0.0003446981,0.0002102971,0.0009351439,0.0008432624,0.0007312897,0.004095117],"category_scores_gemma":[0.001648254,0.0006473144,0.0005665373,0.0004612909,0.0005340712,0.0006811883,0.0006602782,0.0005865549,0.0004517651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009195725,"about_ca_system_score_gemma":0.001051719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006612317,"about_ca_topic_score_gemma":0.004046219,"domain_scores_codex":[0.9996867,0.00009052196,0.00001476047,0.00006346352,0.0001013831,0.00004313685],"domain_scores_gemma":[0.9996295,0.0002112392,0.00005380739,0.0000251183,0.00005379051,0.00002646686],"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":[0.00002950241,0.000008128885,0.0001074894,0.00001263228,0.000004654602,0.00001419011,0.000009645681,0.9943498,0.000596111,0.0008926022,0.0001589347,0.003816284],"study_design_scores_gemma":[0.000004833369,0.00001750326,0.00006588441,0.000002524786,0.000001955816,0.000004899316,0.000004583794,0.9989312,0.0003148597,0.0004389863,0.0002102553,0.000002437764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08438063,0.0004363729,0.9039234,0.0002850095,0.0000418913,0.0001156556,0.0002447048,0.0005793255,0.009993064],"genre_scores_gemma":[0.8524295,0.0002617624,0.1388881,0.00008309694,0.00001341789,0.000183045,0.0002474993,0.0002402271,0.007653391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006612317,"threshold_uncertainty_score":0.01369947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2566436988","doi":"10.1080/19488300.2016.1255286","title":"A new data source to support hospital operations modeling, message-exchange protocols as illustrated through simulation","year":2016,"lang":"en","type":"article","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Task (project management); Information flow; Information exchange; Granularity; Stakeholder; Data collection; Data science; Data exchange; Data mining; Operations research; Database; Systems engineering; Engineering","authors":[{"name":"Renata Konrad","is_ca":false},{"name":"Peter T. Vanberkel","is_ca":true},{"name":"Mark Lawley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1501975962858761,"gpt":0.4393243274504149,"spread":0.2891267311645388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004256731,0.0008308364,0.0007608685,0.002044484,0.0009206955,0.003491968,0.001985885,0.001309685,0.006990517],"category_scores_gemma":[0.01736938,0.0007782933,0.001117049,0.002590325,0.0006281087,0.004230286,0.002208909,0.00283065,0.00222537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262806,"about_ca_system_score_gemma":0.003718423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006675293,"about_ca_topic_score_gemma":0.0059659,"domain_scores_codex":[0.9974491,0.001015237,0.0004292661,0.0003222483,0.0007057674,0.00007830865],"domain_scores_gemma":[0.9902447,0.004708044,0.000500279,0.002964578,0.001325826,0.00025654],"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":[0.0004369116,0.0005920062,0.009122524,0.001122476,0.0002746082,0.0006405914,0.002015644,0.4582917,0.009019896,0.2632238,0.04232647,0.2129333],"study_design_scores_gemma":[0.00009059085,0.0001190452,0.001080049,0.0002545259,0.00005697649,0.0001643273,0.0002646696,0.7508814,0.008895299,0.05529568,0.1828051,0.00009231788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006638099,0.0001336902,0.9681904,0.001042005,0.0002172227,0.000521382,0.007963101,0.008521582,0.006772484],"genre_scores_gemma":[0.107341,0.0005630017,0.8691685,0.0002224746,0.00008223143,0.001208367,0.01694615,0.0009457199,0.003522572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006990517,"threshold_uncertainty_score":0.02338564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385977903","doi":"10.1080/24725579.2023.2249487","title":"Early prediction of progression to Alzheimer’s disease using multi-modality neuroimages by a novel ordinal learning model ADPacer","year":2023,"lang":"en","type":"article","venue":"IISE Transactions on Healthcare Systems Engineering","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; Johnson and Johnson Pharmaceutical Research and Development; National Institutes of Health; H. Lundbeck A/S; Servier; Eisai; National Institute on Aging; Commonwealth Scientific and Industrial Research Organisation; National Stroke Foundation; Genentech; IXICO; Banner Alzheimer’s Foundation; Northern California Institute for Research and Education; University of Southern California; Pfizer; Biogen; BioClinica; Meso Scale Diagnostics; Eli Lilly and Company; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Canadian Institutes of Health Research; National Science Foundation","keywords":"Neuroimaging; Alzheimer's Disease Neuroimaging Initiative; Machine learning; Computer science; Modalities; Pace; Artificial intelligence; Ambiguity; Biomarker; Disease; Modality (human–computer interaction); Psychology; Medicine; Medical physics; Dementia; Neuroscience; Internal medicine","authors":[{"name":"Lujia Wang","is_ca":false},{"name":"Zhiyang Zheng","is_ca":false},{"name":"Yi Su","is_ca":false},{"name":"Kewei Chen","is_ca":false},{"name":"D. L. Weidman","is_ca":false},{"name":"Teresa Wu","is_ca":false},{"name":"ShihChung Lo","is_ca":false},{"name":"Fleming Lure","is_ca":false},{"name":"Jing Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09489906596851361,"gpt":0.3775634552360108,"spread":0.2826643892674972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024842,0.0006658943,0.0007808745,0.0009197083,0.0003169547,0.001119725,0.001367844,0.001145461,0.001714909],"category_scores_gemma":[0.006139116,0.0003165974,0.0008134837,0.0005732725,0.0006519454,0.001378153,0.001455048,0.001891363,0.0002878513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006315715,"about_ca_system_score_gemma":0.0009005689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289654,"about_ca_topic_score_gemma":0.002550789,"domain_scores_codex":[0.9993793,0.0002286304,0.00004386414,0.0001772026,0.0001118613,0.00005919087],"domain_scores_gemma":[0.9966297,0.002196356,0.0002921754,0.0001991776,0.0005285072,0.0001541769],"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":[0.0006378655,0.0004379121,0.03428116,0.0001526757,0.0001988805,0.000323701,0.0002161073,0.6971796,0.001938094,0.01398146,0.00313412,0.2475184],"study_design_scores_gemma":[0.00001116827,0.00006983687,0.0008965251,0.000007703863,0.00001563404,0.00003153557,0.00001014221,0.9939301,0.0002801139,0.004468848,0.0002696762,0.000008785394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1608612,0.0006419856,0.8330576,0.001639731,0.0001107007,0.0001717744,0.0006089524,0.0007425013,0.002165465],"genre_scores_gemma":[0.9125754,0.0002882351,0.08365836,0.0003841581,0.00009228534,0.0001583848,0.0005052931,0.00002516525,0.002312846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0024842,"threshold_uncertainty_score":0.01313788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}