{"id":"W6903236311","doi":"10.11575/sppp.v10i0.42619.g30500","title":"National Pharmacare in Canada: 2019 or Bust?","year":2017,"lang":"en","type":"article","venue":"University of Calgary","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Medical prescription; Plan (archaeology); Table (database); Government (linguistics); Public policy","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":[],"consensus_categories":[],"category_scores_codex":[0.00601205,0.0009047256,0.0007757576,0.002024168,0.009741282,0.0114503,0.003762385,0.01322234,0.07243658],"category_scores_gemma":[0.01321311,0.0005893051,0.001168601,0.003358934,0.004641179,0.006315777,0.004394297,0.009985871,0.01153498],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1181509,"about_ca_system_score_gemma":0.358186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776484,"about_ca_topic_score_gemma":0.9890977,"domain_scores_codex":[0.9900982,0.000398801,0.0003073518,0.0005585282,0.004489304,0.004147794],"domain_scores_gemma":[0.9702812,0.0008290927,0.0005182569,0.0003745188,0.008511803,0.01948509],"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":[0.0000405301,0.0000248701,0.0009641659,0.0001530757,0.000007533788,0.00007995381,0.0001065281,0.00004567271,0.00005608975,0.01281222,0.9599712,0.02573813],"study_design_scores_gemma":[0.00003845719,0.00002261133,0.00821468,0.0005304205,0.00001164303,0.00007582046,0.0008068856,0.0001410582,0.00006950096,0.00191222,0.9881302,0.00004659759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002163344,0.01808432,0.0002726897,0.8898167,0.01457676,0.00008485184,0.006743536,0.0003500418,0.06790773],"genre_scores_gemma":[0.06350518,0.02708151,0.00282665,0.6858704,0.004743549,0.0001665421,0.01099693,0.0003704033,0.2044388],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8818491,"threshold_uncertainty_score":0.857249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316161570861868,"score_gpt":0.2596979556129884,"score_spread":0.2365363399043697,"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."}}