{"id":"W7164629082","doi":"","title":"Version 1","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; Behavioral Risk Factor Surveillance System; Survey data collection; Health insurance","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":[0.004608916,0.0008080231,0.0006662101,0.003490861,0.001083071,0.004403218,0.002115743,0.001553117,0.7030203],"category_scores_gemma":[0.02355016,0.0005365903,0.0007852527,0.003264888,0.0005276853,0.003238888,0.002281716,0.001822601,0.6422089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405783,"about_ca_system_score_gemma":0.003942784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009091019,"about_ca_topic_score_gemma":0.01211031,"domain_scores_codex":[0.9973958,0.0005888079,0.0002696322,0.000336777,0.001138215,0.0002708212],"domain_scores_gemma":[0.9918891,0.001808918,0.0003468068,0.001527909,0.003633369,0.0007939459],"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":[0.0000471456,0.0000345621,0.000531126,0.0001982271,0.000006293434,0.00002289982,0.00009873753,0.00005005894,0.0000654964,0.004746881,0.9414059,0.05279261],"study_design_scores_gemma":[0.0000184219,0.00001224589,0.0008821531,0.0002235875,0.000004138535,0.00003938067,0.0000540913,0.00004029403,0.000054672,0.001556604,0.9971065,0.000007794672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001075857,0.001133775,0.006867322,0.005097999,0.002722211,0.0009592954,0.1914159,0.009188253,0.7815394],"genre_scores_gemma":[0.00724041,0.002197435,0.008303424,0.00413058,0.0007060906,0.00195918,0.1583694,0.005542333,0.811551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2969797,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422734753873191,"score_gpt":0.3423508811126118,"score_spread":0.2781235335738799,"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."}}