{"id":"W4394407893","doi":"10.6084/m9.figshare.19929890","title":"Participants' Data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007569038,0.002546295,0.002479389,0.00554336,0.00195228,0.003724925,0.003248025,0.003343241,0.2835059],"category_scores_gemma":[0.05172507,0.001185852,0.002109687,0.007654034,0.001078053,0.001587784,0.003545769,0.002656065,0.1381045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942912,"about_ca_system_score_gemma":0.01210833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416962,"about_ca_topic_score_gemma":0.01830919,"domain_scores_codex":[0.9940117,0.00132066,0.001190242,0.001288443,0.00150929,0.0006796196],"domain_scores_gemma":[0.9699795,0.01220078,0.002650047,0.006008041,0.007449068,0.00171263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006814679,0.0001846402,0.002480047,0.001514964,0.00006239055,0.00004537182,0.0001771253,0.0001837487,0.0001266679,0.001032044,0.9848756,0.008635825],"study_design_scores_gemma":[0.001684493,0.0001776308,0.01115588,0.002236383,0.0001942874,0.0001543054,0.0005779926,0.000325531,0.0005010483,0.004719616,0.978147,0.0001258471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003101933,0.00003309659,0.0002340107,0.00009891151,0.00004794981,0.0003997583,0.9975938,0.0001050268,0.001177174],"genre_scores_gemma":[0.003469149,0.0001325455,0.002576878,0.0005144867,0.00005672605,0.01775139,0.9679586,0.0002970578,0.007243264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7164941,"threshold_uncertainty_score":0.9484216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2933411712709229,"score_gpt":0.4273783838713459,"score_spread":0.134037212600423,"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."}}