{"id":"W6920612269","doi":"10.6068/dp14ba7f661e252","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, 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; Population statistics; Social 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":[0.002507182,0.002524046,0.002960907,0.008208823,0.00379544,0.005591879,0.00532572,0.001743852,0.1376306],"category_scores_gemma":[0.02470429,0.00188425,0.002231003,0.04637603,0.0007695236,0.002777436,0.002721101,0.003286908,0.077866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06842201,"about_ca_system_score_gemma":0.1707247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953318,"about_ca_topic_score_gemma":0.9937316,"domain_scores_codex":[0.9947109,0.0003431582,0.0006249053,0.0006358628,0.002579927,0.001105182],"domain_scores_gemma":[0.9534328,0.002083627,0.001152425,0.001295775,0.03970432,0.002331097],"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":[0.00002101302,0.000006736873,0.000668549,0.0002695124,0.00001597591,0.000005346175,0.00001941905,0.00008975134,0.000008777569,0.0002579882,0.9971684,0.001468622],"study_design_scores_gemma":[0.0001995168,0.00001283828,0.02093707,0.001013577,0.00007714464,0.00002547536,0.0004607262,0.0003956325,0.0001602783,0.0006402124,0.975972,0.0001054579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003895436,0.00005007527,0.00001857415,0.0001229069,0.00002630731,0.00001506469,0.9986525,0.000062345,0.001013372],"genre_scores_gemma":[0.000820707,0.000357974,0.0004565,0.0002496691,0.00002034785,0.0001617126,0.9925747,0.0001563974,0.005201949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1376306,"threshold_uncertainty_score":0.4964387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836271375007858,"score_gpt":0.2582370581211489,"score_spread":0.2398743443710703,"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."}}