{"id":"W6920347523","doi":"10.6068/dp14ba86b61b529","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: Functional health, good to full, Mother tongue, neither English nor French, 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; Publication","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":[0.002613702,0.002476525,0.002967814,0.008002472,0.003517773,0.005216559,0.005395122,0.00168582,0.1306941],"category_scores_gemma":[0.02541899,0.001874126,0.002263726,0.04533461,0.0007453163,0.002631251,0.002671335,0.003230769,0.07091186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06454408,"about_ca_system_score_gemma":0.160764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948944,"about_ca_topic_score_gemma":0.9931713,"domain_scores_codex":[0.9947778,0.0003574169,0.0006572499,0.0006203507,0.002482482,0.001104746],"domain_scores_gemma":[0.9520252,0.002230969,0.001247187,0.001327516,0.04080659,0.002362664],"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":[0.00002419299,0.000007392419,0.0007761417,0.0002972103,0.00001661601,0.000005340212,0.00002067482,0.00009117027,0.000008610003,0.0002369793,0.9970217,0.001493939],"study_design_scores_gemma":[0.000240935,0.00001580166,0.02720054,0.001222201,0.00008846656,0.00002798214,0.0005501095,0.0004291462,0.0001772002,0.0006476504,0.9692849,0.0001151527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004099487,0.00004479825,0.0000173717,0.0001114288,0.00002379914,0.0000159779,0.9987873,0.00005543391,0.00090282],"genre_scores_gemma":[0.0008485028,0.0003402038,0.0004456791,0.0002356155,0.0000206083,0.000186389,0.9927145,0.0001413906,0.005067048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1306941,"threshold_uncertainty_score":0.4683023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606682111043713,"score_gpt":0.2636703108107574,"score_spread":0.2376034897003203,"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."}}