{"id":"W7164616193","doi":"","title":"Version 2","year":2014,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Medicaid; Health care; Government (linguistics); Quarter (Canadian coin); Health policy; Medical underwriting; Self-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":[0.004566552,0.0008089076,0.0006680526,0.003055602,0.001213171,0.004806768,0.001861394,0.00160966,0.6909937],"category_scores_gemma":[0.02296759,0.0005469746,0.0008636474,0.003034627,0.0005437442,0.003330373,0.002357915,0.001803532,0.6243631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148441,"about_ca_system_score_gemma":0.004063801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011578,"about_ca_topic_score_gemma":0.01135151,"domain_scores_codex":[0.99713,0.0006493031,0.0002502628,0.0004184074,0.001257665,0.0002944817],"domain_scores_gemma":[0.9917117,0.001721718,0.0002997679,0.001693602,0.003848389,0.0007247422],"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":[0.00004970811,0.00003225044,0.0006467283,0.0001366715,0.000006698886,0.00002093507,0.00009238131,0.00006070133,0.00007409177,0.005765123,0.9379712,0.05514362],"study_design_scores_gemma":[0.00001806087,0.00001125964,0.0009048381,0.0001302005,0.000003967599,0.00003226206,0.00005792171,0.00005606945,0.00006541194,0.001716906,0.9969947,0.000008406042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001235184,0.0007982555,0.008671339,0.006927376,0.004193951,0.0009045338,0.1402242,0.0109706,0.8260744],"genre_scores_gemma":[0.00928547,0.001564211,0.01006552,0.004889235,0.00102615,0.001708635,0.1372672,0.005677936,0.8285156],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3090063,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805253418161078,"score_gpt":0.3097590618203893,"score_spread":0.2817065276387785,"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."}}