{"id":"W6938798857","doi":"10.6068/dp14ba80bccaa52","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: Asthma, Mother tongue, English and French, 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; Population; Socioeconomic status; First language; Population statistics; Social 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":[0.002452536,0.00256033,0.002966393,0.008154775,0.003775175,0.005638825,0.00534054,0.001757976,0.1293755],"category_scores_gemma":[0.02457649,0.001903965,0.002244499,0.04634834,0.0007820349,0.002764718,0.002732294,0.003355832,0.07302648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06840716,"about_ca_system_score_gemma":0.169811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954998,"about_ca_topic_score_gemma":0.9940123,"domain_scores_codex":[0.9947437,0.0003459519,0.0006194081,0.0006380548,0.002535956,0.001116883],"domain_scores_gemma":[0.9551394,0.002031549,0.001144135,0.00124859,0.03812407,0.00231235],"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":[0.00002178942,0.000006811358,0.0007035903,0.0002786345,0.00001706843,0.000005552359,0.00002026279,0.00009364631,0.000009064655,0.0002642276,0.9971757,0.001403745],"study_design_scores_gemma":[0.0002074978,0.00001304697,0.02145261,0.001053605,0.00008284881,0.00002637518,0.0004859987,0.0004113655,0.0001683005,0.0006451365,0.9753445,0.0001087212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003903302,0.00004976723,0.0000173159,0.0001185439,0.00002429463,0.00001351267,0.998773,0.00005890928,0.0009055976],"genre_scores_gemma":[0.0008284041,0.0003453554,0.0004404558,0.000237626,0.00001943,0.0001516597,0.993102,0.0001457805,0.004729321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1293755,"threshold_uncertainty_score":0.496331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549523040306891,"score_gpt":0.2485310157927768,"score_spread":0.2330357853897079,"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."}}