{"id":"W6976866149","doi":"10.6068/dp14ba849f80167","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: Perceived health, very good or excellent, Total, mother tongue, Both sexes | 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; Socioeconomic status; Population; First language; Social statistics; 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":[0.002738382,0.002482519,0.002969698,0.007989914,0.003516839,0.005275383,0.005490761,0.001669415,0.1329708],"category_scores_gemma":[0.02605916,0.001880961,0.00230216,0.04510127,0.000756431,0.002633797,0.002713162,0.003351245,0.07160936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06452778,"about_ca_system_score_gemma":0.1617365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946333,"about_ca_topic_score_gemma":0.9927811,"domain_scores_codex":[0.9946145,0.0003766823,0.0006808374,0.0006281257,0.002584457,0.001115381],"domain_scores_gemma":[0.9501589,0.002329948,0.001258768,0.001385421,0.04243831,0.002428696],"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":[0.00002376529,0.000007542986,0.0007722368,0.0003045966,0.0000169979,0.000005442147,0.00002120826,0.00009354809,0.000008780595,0.0002434352,0.9969529,0.001549527],"study_design_scores_gemma":[0.0002316753,0.00001567952,0.02649877,0.00120375,0.00008618365,0.00002749136,0.0005626068,0.000428806,0.0001735267,0.0006805414,0.9699756,0.0001152926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003977424,0.00004373161,0.00001805318,0.000110893,0.00002366609,0.00001629973,0.9988115,0.00005692922,0.0008791363],"genre_scores_gemma":[0.0008424984,0.0003349756,0.0004708666,0.0002324565,0.0000200245,0.0001958606,0.9927818,0.0001446584,0.004976765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1329708,"threshold_uncertainty_score":0.468184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513735617091653,"score_gpt":0.2727513921642314,"score_spread":0.2476140359933149,"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."}}