{"id":"W6938932120","doi":"10.6068/dp14ba81bf09090","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: Has a regular medical doctor, Total, mother tongue, 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; Population statistics; First language","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":[0.002375111,0.002431555,0.002908977,0.007862102,0.003623561,0.005320239,0.005166956,0.00161018,0.1202413],"category_scores_gemma":[0.02383707,0.001788467,0.002069502,0.04495561,0.0007536595,0.002559439,0.002554306,0.003157954,0.06890994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06537391,"about_ca_system_score_gemma":0.1582871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952801,"about_ca_topic_score_gemma":0.9940508,"domain_scores_codex":[0.9951093,0.0003219078,0.0005772228,0.0006120521,0.002330427,0.001049106],"domain_scores_gemma":[0.9562431,0.002020526,0.001131075,0.00122479,0.0371457,0.002234859],"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":[0.00002188699,0.000006851018,0.0007535988,0.000255663,0.00001599717,0.000005337859,0.00002013302,0.00009621666,0.00000855574,0.0002446142,0.9972478,0.00132338],"study_design_scores_gemma":[0.0002145893,0.00001366505,0.02376493,0.001009242,0.00007825578,0.00002609811,0.0005290385,0.0004542392,0.0001701541,0.0006370805,0.9729947,0.0001078513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004106042,0.00004197661,0.00001625588,0.000109736,0.00002211293,0.00001293209,0.9988847,0.00005391642,0.0008172707],"genre_scores_gemma":[0.0008204914,0.0002909864,0.0003968789,0.000207554,0.00001771052,0.0001397511,0.9937834,0.0001237955,0.004219385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1202413,"threshold_uncertainty_score":0.4743232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027598401076131,"score_gpt":0.2753356224479858,"score_spread":0.2450596384372245,"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."}}