{"id":"W7164622633","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; 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":[0.004294234,0.0008713346,0.0006974539,0.002973593,0.001263647,0.005050106,0.002001022,0.001752894,0.7328758],"category_scores_gemma":[0.020341,0.0005392478,0.0009188565,0.002603665,0.0005667179,0.003644889,0.002533399,0.00187778,0.6636317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353239,"about_ca_system_score_gemma":0.003579042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00709324,"about_ca_topic_score_gemma":0.008985909,"domain_scores_codex":[0.9974022,0.0006057906,0.0002383653,0.0003830316,0.001086987,0.0002836839],"domain_scores_gemma":[0.9930741,0.001415853,0.0002319168,0.001507966,0.003104709,0.0006654754],"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":[0.00005131297,0.0000324953,0.0004213851,0.0001658917,0.000006649045,0.0000251421,0.00009362899,0.00005368299,0.00008533102,0.006382773,0.9344597,0.05822203],"study_design_scores_gemma":[0.00001668768,0.00001071665,0.0005452128,0.000136938,0.000003566411,0.00003946767,0.00005016544,0.00004487278,0.00006138016,0.001792461,0.9972909,0.000007558544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009979178,0.001022814,0.008521732,0.006312186,0.004598967,0.0007972155,0.09691473,0.01120111,0.8696334],"genre_scores_gemma":[0.008093302,0.001764373,0.009236193,0.004582672,0.001092283,0.001408557,0.09530999,0.005897646,0.872615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2671242,"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."}}