{"id":"W6960694273","doi":"10.1371/journal.pone.0087910.t001","title":"Demographics and baseline characteristics: ITT population.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; WOMAC; Body mass index; Baseline (sea); Osteoarthritis; Body weight","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113746,0.001104051,0.001437523,0.001441806,0.0005763695,0.001520427,0.002045807,0.00177154,0.1061809],"category_scores_gemma":[0.01115773,0.0005164561,0.001353261,0.004059407,0.0002861493,0.001256663,0.001084076,0.002015647,0.04859205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257251,"about_ca_system_score_gemma":0.002257735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221153,"about_ca_topic_score_gemma":0.0239634,"domain_scores_codex":[0.99906,0.0001443175,0.0001831649,0.0003092655,0.0001428695,0.000160422],"domain_scores_gemma":[0.9972816,0.0007487704,0.0005166311,0.0004674986,0.0007091927,0.0002763732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003518981,0.00005665082,0.006517722,0.0006430396,0.0001169706,0.0000338786,0.00003081691,0.0001865985,0.00004853094,0.0003457209,0.9885623,0.003105856],"study_design_scores_gemma":[0.004977837,0.0003090504,0.1168453,0.004007864,0.0009472282,0.0006724455,0.0004668307,0.001408543,0.0004570501,0.004734423,0.865023,0.0001504286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000740085,0.0001590317,0.0001131569,0.0001806915,0.00004181917,0.00006122256,0.9972721,0.00007092431,0.001361002],"genre_scores_gemma":[0.006176195,0.0002489421,0.0002944892,0.0006080169,0.00006212468,0.001181309,0.9887381,0.0001031332,0.002587728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1061809,"threshold_uncertainty_score":0.3552105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04096478140490512,"score_gpt":0.3084483300064009,"score_spread":0.2674835486014958,"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."}}