{"id":"W7037746418","doi":"","title":"Federalism and Health Care in Canada: A Troubled Romance?","year":2017,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Nuts composition and effects","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Federalism; Health care; Jurisdiction; Federal jurisdiction; Public health; Government (linguistics); Health policy; Constitution; Health law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001234459,0.0001393153,0.0002591012,0.00003073446,0.0007314439,0.0002414693,0.0001845022,0.00004610683,0.0000353235],"category_scores_gemma":[0.00001996379,0.0001423737,0.00002769978,0.00003267388,0.00004013475,0.0002281951,0.00005342176,0.0002245223,0.00001887764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007817057,"about_ca_system_score_gemma":0.0002795074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9493518,"about_ca_topic_score_gemma":0.9931267,"domain_scores_codex":[0.9989378,0.00008079518,0.0001843045,0.0002673877,0.0001693259,0.0003603685],"domain_scores_gemma":[0.9991828,0.00002434103,0.0001101018,0.0004069895,0.00002726594,0.000248461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003214997,0.0004734934,0.5548561,0.002489931,0.0001675731,0.001201697,0.01083255,0.0001963536,0.005622027,0.05958269,0.2563379,0.1050247],"study_design_scores_gemma":[0.006938739,0.0004793496,0.8844656,0.0006563439,0.00001624526,0.00004892442,0.0006488376,0.0003383072,0.002159182,0.0008782177,0.1027093,0.0006609533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703695,0.001227219,0.00000243,0.01968857,0.001168269,0.0003415398,0.00001205014,0.00004663625,0.007143795],"genre_scores_gemma":[0.9937198,0.00001333134,0.0002492784,0.005703412,0.0001544382,0.00001814932,0.0000128695,0.00001905219,0.0001097405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3296095,"threshold_uncertainty_score":0.5805831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573479135643251,"score_gpt":0.2741210428696049,"score_spread":0.2583862515131724,"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."}}