{"id":"W7164617091","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; Government (linguistics); Medicaid; Quarter (Canadian coin); Health care; Purchasing; Mental health; Survey data collection","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":[0.004269412,0.0008190555,0.0007348848,0.003144556,0.001180188,0.004700169,0.002035997,0.001787177,0.7280644],"category_scores_gemma":[0.02150757,0.0005378372,0.0007930098,0.00279006,0.0005297127,0.003536716,0.002445481,0.001958431,0.6686789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150933,"about_ca_system_score_gemma":0.003692318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007866655,"about_ca_topic_score_gemma":0.01002935,"domain_scores_codex":[0.997444,0.0005726967,0.0002516642,0.0003608613,0.001081177,0.0002895236],"domain_scores_gemma":[0.9926577,0.001514245,0.0002570349,0.001341759,0.003515164,0.0007141432],"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":[0.00004414722,0.00002729581,0.0003759427,0.0001601757,0.00000487711,0.00001988479,0.00008115302,0.00003867795,0.00005930854,0.0047856,0.945509,0.04889402],"study_design_scores_gemma":[0.00001549518,0.00001158757,0.0006417092,0.0001705237,0.000003087375,0.00003380008,0.00005183501,0.00003254408,0.00004559167,0.001505776,0.997481,0.000006951127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009558147,0.001310206,0.006102181,0.007106362,0.004661415,0.0008890033,0.1443184,0.00898731,0.8256692],"genre_scores_gemma":[0.006637926,0.002066318,0.006538325,0.005030267,0.0009368625,0.001452383,0.1123117,0.004165372,0.8608609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2719356,"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."}}