{"id":"W3148314296","doi":"10.13162/hro-ors.v9i1.4367","title":"Improving Access to Home and Community Care: An Analysis of the 2017 Health Accord","year":2021,"lang":"en","type":"article","venue":"Health Reform Observer - Observatoire des Réformes de Santé","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; McGill University","funders":"","keywords":"Government (linguistics); Health care; Economic growth; Business; Home health; Public administration; Medicine; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006943203,0.0002340256,0.0004749496,0.002719251,0.002295465,0.004637796,0.001047144,0.000907165,0.003417037],"category_scores_gemma":[0.01832125,0.000222143,0.0007212008,0.008249479,0.001566354,0.001477043,0.002462353,0.003063606,0.0003004433],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03692342,"about_ca_system_score_gemma":0.04718192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7376398,"about_ca_topic_score_gemma":0.7475696,"domain_scores_codex":[0.9881251,0.001093184,0.0003180035,0.0003145002,0.005997529,0.004151559],"domain_scores_gemma":[0.9866031,0.002770584,0.002027887,0.0003310808,0.00544962,0.002817735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001448664,0.0005873867,0.5146542,0.0006352803,0.0002727809,0.0008548839,0.02688302,0.003679962,0.0005822801,0.1295419,0.1700887,0.1507709],"study_design_scores_gemma":[0.00007479427,0.0001059342,0.8376818,0.0003769399,0.0000584921,0.0000810232,0.02620292,0.001127659,0.0001825898,0.00263796,0.1314126,0.00005717594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484465,0.003619423,0.0005641325,0.03162168,0.0004472762,0.0004279277,0.01284995,0.00005528817,0.1019678],"genre_scores_gemma":[0.9742008,0.002550194,0.0004001184,0.002631148,0.0002518348,0.000268087,0.00871023,0.00005547007,0.0109323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9630766,"threshold_uncertainty_score":0.5278105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576513134150601,"score_gpt":0.4350471353053569,"score_spread":0.2773958218902968,"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."}}