{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003183885,0.0001133918,0.0001936815,0.0000698002,0.0007435232,0.0002186426,0.003139206,0.00006905737,0.990393],"category_scores_gemma":[0.004658789,0.0001151766,0.00006033212,0.0002500048,0.00001367306,0.0002319556,0.002609412,0.0003278169,0.004861267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003690389,"about_ca_system_score_gemma":0.0003518918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684021,"about_ca_topic_score_gemma":0.009499035,"domain_scores_codex":[0.9982101,0.0002457971,0.0001655909,0.0004225925,0.00056505,0.0003908561],"domain_scores_gemma":[0.9979805,0.0002436091,0.0001544107,0.001465116,0.00001861274,0.0001377341],"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":[4.011206e-7,0.00001880412,5.066146e-7,0.00003133127,0.00002528386,0.00002393519,0.00007635249,6.484141e-7,1.325184e-8,0.000002740277,0.9989098,0.0009101251],"study_design_scores_gemma":[0.00001929274,0.000003673885,0.000008402565,0.0001497512,0.00004333022,1.388359e-7,0.0002173699,0.000007381303,3.369739e-8,0.000008081267,0.9993905,0.0001520101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.684457e-8,0.0001666155,2.067991e-8,0.000113257,0.000102169,0.00009385359,0.9975268,0.00002996099,0.001967274],"genre_scores_gemma":[0.000001530643,0.00007165976,0.000003940011,0.0002573216,0.0004597564,0.0000795868,0.9984574,0.000007956804,0.0006608027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9855318,"threshold_uncertainty_score":0.9959136,"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."}}