{"id":"W6901430848","doi":"10.6068/dp14ba8351e4c94","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: Exposure to second-hand smoke at home, Mother tongue, English, Males | 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; Population statistics; First language; Official 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":[0.002692474,0.002532749,0.003065668,0.007721902,0.003584132,0.005091558,0.005541444,0.001708161,0.1212905],"category_scores_gemma":[0.02436474,0.001898563,0.002370989,0.04388507,0.0007609244,0.002555534,0.002599502,0.003287858,0.06734996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06481302,"about_ca_system_score_gemma":0.1634656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946708,"about_ca_topic_score_gemma":0.9929213,"domain_scores_codex":[0.9946961,0.0003678088,0.0006802591,0.0006277012,0.002520058,0.00110792],"domain_scores_gemma":[0.9528896,0.002116055,0.001239044,0.001308394,0.04008162,0.002365297],"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":[0.00002674285,0.000008165797,0.0008232104,0.0003186183,0.00001860771,0.000005943832,0.00002070083,0.00009735779,0.00001000962,0.0002295325,0.9969044,0.001536643],"study_design_scores_gemma":[0.0002592593,0.00001767822,0.02856863,0.001259209,0.00009681439,0.00003034726,0.0005504416,0.0004583006,0.0001918785,0.0006697308,0.9677768,0.0001209406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004168902,0.00004594346,0.00001728919,0.000110444,0.00002450271,0.00001624426,0.9988754,0.0000549467,0.0008134774],"genre_scores_gemma":[0.0008292597,0.0003448231,0.0004535128,0.000235646,0.00002012947,0.0001811414,0.9931422,0.0001347106,0.004658423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1212905,"threshold_uncertainty_score":0.4702536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010009259388209,"score_gpt":0.2538062808766654,"score_spread":0.2337061882827833,"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."}}