{"id":"W7164623011","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; 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":[0.004552277,0.0008423023,0.0007145903,0.003514657,0.001230014,0.004785302,0.002198402,0.001814142,0.7411104],"category_scores_gemma":[0.02221142,0.0005721988,0.0008348242,0.003038871,0.0005745279,0.003607173,0.00246116,0.001959262,0.6755468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577528,"about_ca_system_score_gemma":0.004133794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008956203,"about_ca_topic_score_gemma":0.01089047,"domain_scores_codex":[0.9973633,0.0005711843,0.0002744804,0.0003556747,0.001136896,0.0002984478],"domain_scores_gemma":[0.99217,0.001572163,0.0002816725,0.00147894,0.003664986,0.0008322315],"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":[0.00004296318,0.00003051832,0.0004049241,0.0001578037,0.000004775539,0.00002284904,0.00008273601,0.00004190627,0.00005620849,0.004896308,0.9477034,0.04655572],"study_design_scores_gemma":[0.00001581966,0.00001158417,0.000649366,0.0001674489,0.000003109988,0.00003798585,0.00004990823,0.00003411774,0.00004569998,0.001377263,0.9976009,0.000006952466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008573569,0.0009690904,0.005290184,0.005273418,0.003291779,0.0008835631,0.1373704,0.00825992,0.8378043],"genre_scores_gemma":[0.005747744,0.001711435,0.005744134,0.004034987,0.0007346014,0.001429886,0.1066172,0.004034427,0.8699454],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2588896,"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."}}