{"id":"W6957961274","doi":"10.6068/dp14ba842ddcf0","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, Mother tongue, 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; 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":[0.002494604,0.002467164,0.002931531,0.007960338,0.003484515,0.005363349,0.005356354,0.001636598,0.1315599],"category_scores_gemma":[0.02437327,0.001805224,0.002221855,0.04507756,0.0007475181,0.002611434,0.002642076,0.003205863,0.07478246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06187857,"about_ca_system_score_gemma":0.152018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994671,"about_ca_topic_score_gemma":0.9929085,"domain_scores_codex":[0.9950965,0.0003351494,0.0006011383,0.0005980979,0.00232048,0.001048513],"domain_scores_gemma":[0.9544888,0.002127272,0.001163534,0.001303428,0.03863461,0.002282296],"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":[0.00002235203,0.00000694236,0.0007371802,0.0002795039,0.00001596709,0.00000530647,0.00002016616,0.00008938517,0.000008533778,0.0002301014,0.997103,0.001481471],"study_design_scores_gemma":[0.0002150485,0.00001430217,0.02417732,0.001109131,0.00007989018,0.0000265368,0.0005246464,0.0004213644,0.0001699693,0.0006411754,0.9725117,0.0001089265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000379164,0.0000426173,0.00001661566,0.0001046312,0.00002150788,0.00001357787,0.9988852,0.00005732133,0.0008205376],"genre_scores_gemma":[0.0007717408,0.0003048105,0.0004106887,0.0002027391,0.00001811544,0.0001577904,0.9934993,0.0001386493,0.004496221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1315599,"threshold_uncertainty_score":0.4489626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204256269560832,"score_gpt":0.2785150185950245,"score_spread":0.2464724558994162,"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."}}