{"id":"W6904766001","doi":"10.14288/1.0228452","title":"The Canadian Rx atlas, 2nd edition","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Per capita; Prescription drug; Portrait; Population; Current Population Survey","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":[0.001126947,0.001508203,0.0007695818,0.008999988,0.003536231,0.005839645,0.002121187,0.001176444,0.1593903],"category_scores_gemma":[0.006710525,0.000785173,0.0007280306,0.0233533,0.001110602,0.002588176,0.001531098,0.001781236,0.06550231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03361246,"about_ca_system_score_gemma":0.1075626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709287,"about_ca_topic_score_gemma":0.9771687,"domain_scores_codex":[0.9978325,0.00008175726,0.000106346,0.0001616221,0.001507966,0.0003098443],"domain_scores_gemma":[0.9937156,0.0002117105,0.0002156127,0.0002336498,0.005124608,0.0004988565],"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":[0.000005433104,0.000001599692,0.0001898972,0.00008714971,0.000001528194,0.00001130619,0.00002970851,0.00004647572,0.00002341841,0.00219359,0.983865,0.01354496],"study_design_scores_gemma":[0.000001330871,7.717915e-7,0.001017471,0.00006196884,0.00000140591,0.00001697232,0.00003759019,0.00002239223,0.00001596152,0.0001936941,0.998625,0.000005396857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001183969,0.02154204,0.001603895,0.01629533,0.004824157,0.000276125,0.4142069,0.003577244,0.5364903],"genre_scores_gemma":[0.01024428,0.03834667,0.005774949,0.003815134,0.001091031,0.000229896,0.2207217,0.001705983,0.7180704],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1593903,"threshold_uncertainty_score":0.5332136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006845846327927052,"score_gpt":0.1798242904947749,"score_spread":0.1729784441668478,"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."}}