{"id":"W7099269625","doi":"","title":"PUBLIC HEALTH AGENCY OF CANADA SUMMARY OF RESULTS (EXCLUDES QUEBEC) •\\t In\\t2009/10-2010/11,\\t there\\twere\\t6.1\\t(95 %\\t CI:\\t 4.3-8.6)","year":2015,"lang":"en","type":"article","venue":"","topic":"Spatial and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Public health; 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":[0.005499718,0.001744373,0.002193635,0.007903492,0.00250112,0.002532571,0.003519831,0.001286574,0.03286773],"category_scores_gemma":[0.01364049,0.001195965,0.004384728,0.01761017,0.0005301042,0.001065506,0.001373173,0.001812145,0.005140716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03560278,"about_ca_system_score_gemma":0.09520335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944642,"about_ca_topic_score_gemma":0.9956353,"domain_scores_codex":[0.9924528,0.0009530371,0.0007332533,0.0006810139,0.003591581,0.001588377],"domain_scores_gemma":[0.9773296,0.001123051,0.001495969,0.0005934692,0.01827927,0.001178808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001115298,0.00009493542,0.05103072,0.004610578,0.001249462,0.0000568805,0.00008970698,0.0005654515,0.00009413512,0.0005642037,0.9241164,0.01641222],"study_design_scores_gemma":[0.001278609,0.0002612091,0.6904649,0.004203397,0.00387778,0.00009767721,0.00099441,0.0006395418,0.0006690041,0.0002655636,0.2970648,0.0001832031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003178427,0.005742716,0.0003185291,0.0009584533,0.0004995306,0.0007234298,0.9731756,0.0001792969,0.01522408],"genre_scores_gemma":[0.1025947,0.01958407,0.003200859,0.005380717,0.0004910712,0.00403944,0.786595,0.0003478932,0.07776629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03560278,"threshold_uncertainty_score":0.2583175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490809988589604,"score_gpt":0.3103635617832813,"score_spread":0.1612825629243209,"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."}}