{"id":"W6901722822","doi":"10.6068/dp14ba86b62bf30","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Languages | Country: Canada | Table: Health indicator profile, by linguistic characteristic (mother tongue, first official language spoken) | Variable: Contact with a medical doctor in the past 12 months, Mother tongue, French, Females | Units: %, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-148.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Economic statistics; Census; Population; Socioeconomic status; Social statistics; Medical statistics; Publication; Population statistics","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":[0.00236604,0.002508127,0.003042968,0.007846982,0.003660744,0.005578002,0.005454153,0.001727731,0.1257721],"category_scores_gemma":[0.02441926,0.001858237,0.002218633,0.04535977,0.0007851936,0.002736667,0.00265159,0.003278015,0.07478918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06238836,"about_ca_system_score_gemma":0.1556257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945439,"about_ca_topic_score_gemma":0.9930415,"domain_scores_codex":[0.9951566,0.0003234538,0.0005924978,0.0006279082,0.002257509,0.00104202],"domain_scores_gemma":[0.9561089,0.002093556,0.001136478,0.001310494,0.03716025,0.002190337],"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":[0.00002255433,0.000006922301,0.0006928193,0.0002737783,0.00001616835,0.00000512209,0.00001950545,0.00008749019,0.000008212302,0.0002280024,0.9973559,0.001283464],"study_design_scores_gemma":[0.0002224581,0.00001345419,0.02156348,0.001122215,0.00008100229,0.00002551326,0.0005123221,0.0004165168,0.0001713375,0.0006399128,0.9751251,0.0001067967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003543749,0.00004069931,0.0000148274,0.0001018956,0.00002153646,0.00001244917,0.998951,0.00005264532,0.0007694425],"genre_scores_gemma":[0.000732779,0.0002984555,0.0003779671,0.0002015111,0.0000182449,0.0001451077,0.9941286,0.0001273157,0.003970047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1257721,"threshold_uncertainty_score":0.4526613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207918112295237,"score_gpt":0.264205504803224,"score_spread":0.2421263236802716,"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."}}