{"id":"W3168034788","doi":"10.1038/s41562-021-01134-4","title":"Accomplishing breakthroughs in behavioural medicine research","year":2021,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"School of Medicine, University of California, San Francisco; U.S. National Library of Medicine; University of California, San Francisco; Feinstein Institutes for Medical Research; St. John's University; Concordia University; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; Northwell Health; University of Pittsburgh","keywords":"Behavioral medicine; Behavioural sciences; MEDLINE; Psychology; Data science; Medicine; Computer science; Biology; Psychiatry; Psychotherapist","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001400663,0.0002433465,0.0004049932,0.0005094657,0.0004428494,0.00007099587,0.0005302681,0.0008835369,0.01485399],"category_scores_gemma":[0.0001076137,0.0002380515,0.0001582634,0.001067152,0.0002593232,0.0002402239,0.0001892258,0.00474209,0.0002875901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000282095,"about_ca_system_score_gemma":0.00009478586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006187247,"about_ca_topic_score_gemma":0.008672565,"domain_scores_codex":[0.9961641,0.0006629659,0.000732445,0.0007571257,0.0006848894,0.0009984333],"domain_scores_gemma":[0.9981467,0.0001150668,0.0001097788,0.0008272812,0.0005279801,0.0002732631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000466919,0.001488953,0.8303089,0.00002026663,0.00001262262,0.00175735,0.003305566,1.290959e-7,0.001316918,0.0496256,0.1029332,0.009183831],"study_design_scores_gemma":[0.001501606,0.000241604,0.9879399,0.0002629984,0.00003247535,0.0001510103,0.00319821,3.748026e-7,0.0001747805,0.0009855068,0.005285842,0.0002256807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633681,0.003454304,0.000003218934,0.002811238,0.00200492,0.0003389388,0.00003793036,0.0001058263,0.02787553],"genre_scores_gemma":[0.9847094,0.000009387362,0.0001201768,0.0005767803,0.000450667,0.0001294302,0.0002836634,0.00005274816,0.01366774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1576311,"threshold_uncertainty_score":0.997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2793856403170077,"score_gpt":0.5560434354838408,"score_spread":0.2766577951668331,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}