{"id":"W7164622301","doi":"","title":"Version 3","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":[0.004545026,0.0008927389,0.0006767994,0.003159656,0.001294989,0.005138122,0.002329768,0.001805177,0.7563899],"category_scores_gemma":[0.02050791,0.0005948962,0.001032596,0.002867708,0.0006221211,0.003517806,0.002664544,0.001768224,0.6792431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519597,"about_ca_system_score_gemma":0.004153651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029014,"about_ca_topic_score_gemma":0.01243337,"domain_scores_codex":[0.9973472,0.0005839254,0.0002592599,0.0003518511,0.001150416,0.0003072321],"domain_scores_gemma":[0.9933102,0.001246846,0.0002326732,0.001582496,0.002943303,0.000684457],"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":[0.00004881999,0.00003418148,0.0004352399,0.0001637346,0.00000710554,0.000029522,0.00008978635,0.00006581664,0.00008554279,0.006518312,0.9426272,0.04989482],"study_design_scores_gemma":[0.00001817342,0.0000105098,0.0005553698,0.0001386905,0.00000388536,0.00004264839,0.00004574527,0.00004774075,0.0000660834,0.001700759,0.9973628,0.00000764707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008037438,0.0006755315,0.007252494,0.004159225,0.002539,0.000740386,0.09565517,0.01086106,0.8773134],"genre_scores_gemma":[0.006648062,0.001405487,0.007795348,0.003498136,0.0007016,0.001280213,0.09329492,0.005937694,0.8794386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2436101,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06163894467193542,"score_gpt":0.341176629846703,"score_spread":0.2795376851747676,"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."}}