{"id":"W4231301336","doi":"10.1177/070674371506000608","title":"Errata","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; Paragraph; Anticipation (artificial intelligence); Law; Column (typography); Psychology; Political science; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006804118,0.001250417,0.001204675,0.003961009,0.003512738,0.004811168,0.002586912,0.004585243,0.2111346],"category_scores_gemma":[0.1109661,0.0007822046,0.001651078,0.002789125,0.001471959,0.003591068,0.002348338,0.006946298,0.1365703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004253205,"about_ca_system_score_gemma":0.008271567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064386,"about_ca_topic_score_gemma":0.01022392,"domain_scores_codex":[0.9904209,0.00169403,0.001886228,0.001046666,0.004383801,0.0005682802],"domain_scores_gemma":[0.9281763,0.01484526,0.003413604,0.004752804,0.04669546,0.002116621],"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":[0.00002027382,0.000003752895,0.00005478219,0.00008564993,0.000002776479,0.00007216837,0.00003688978,0.000009673837,0.00001430088,0.0008125069,0.9915462,0.007341092],"study_design_scores_gemma":[0.00001427159,0.000008726396,0.0001949871,0.0003356692,0.000007639142,0.0002234711,0.0001138324,0.00002177105,0.00008016598,0.0008054439,0.9981825,0.00001141943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000489514,0.004068621,0.002424259,0.136938,0.7938778,0.0002602146,0.01038772,0.001230011,0.05032388],"genre_scores_gemma":[0.01324051,0.01442006,0.008242374,0.2219313,0.1522183,0.001250376,0.02234026,0.003453339,0.5629035],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7888654,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.098842769434608,"score_gpt":0.4103341596827915,"score_spread":0.3114913902481835,"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."}}