{"id":"W7164633288","doi":"","title":"Version 2","year":2015,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Quarter (Canadian coin); Government (linguistics); Health care; Mental health; Survey data collection; Health insurance; Behavioral Risk Factor Surveillance System","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004519271,0.0008901143,0.000675499,0.003285082,0.001312243,0.005167187,0.002151865,0.001799468,0.7472271],"category_scores_gemma":[0.02073227,0.0005710887,0.0009587292,0.002796335,0.0006086407,0.003741951,0.002573345,0.001897238,0.6699036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423209,"about_ca_system_score_gemma":0.003996742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007994791,"about_ca_topic_score_gemma":0.009874072,"domain_scores_codex":[0.9973362,0.0005921231,0.0002548976,0.0003766778,0.001144693,0.0002953476],"domain_scores_gemma":[0.9927524,0.001433404,0.0002474789,0.001626963,0.003172862,0.0007669284],"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":[0.00004807485,0.00003559146,0.0004441793,0.000158869,0.000006259283,0.00002903577,0.00009433609,0.00005737696,0.00008026023,0.006631635,0.9375081,0.0549063],"study_design_scores_gemma":[0.00001610777,0.00001038169,0.0005273768,0.0001311119,0.000003446654,0.00004354626,0.00004669667,0.00004563043,0.00005938517,0.001605962,0.997503,0.000007316789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000869637,0.0007572717,0.007207957,0.004792271,0.003321198,0.0007619736,0.08843092,0.009986126,0.8838726],"genre_scores_gemma":[0.006747638,0.001447913,0.007752721,0.003721829,0.0008522021,0.001303981,0.08664684,0.005492172,0.8860347],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2527729,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05936850732319311,"score_gpt":0.3408395439310656,"score_spread":0.2814710366078725,"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."}}