{"id":"W6888996935","doi":"10.25318/9810027501-eng","title":"Indigenous language spoken at home by single and multiple responses of language spoken at home and Indigenous identity: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Indigenous; Metropolitan area; Indigenous language; Population; Treaty; Spoken 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":[0.002089096,0.001947751,0.001934778,0.004307244,0.002434382,0.002838676,0.00506021,0.001548035,0.03812858],"category_scores_gemma":[0.01180043,0.001429472,0.001844267,0.01544721,0.0006552412,0.001328588,0.002175509,0.002723396,0.01780034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0162945,"about_ca_system_score_gemma":0.0358041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9723549,"about_ca_topic_score_gemma":0.9773403,"domain_scores_codex":[0.9979335,0.0001976204,0.0002638573,0.0003442087,0.0006090191,0.0006518641],"domain_scores_gemma":[0.9896483,0.0008454138,0.000722704,0.0006403902,0.007174579,0.0009686263],"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":[0.00008356577,0.00002696568,0.005403296,0.0004408616,0.0000644257,0.00001919044,0.00007371398,0.0002009692,0.00002193101,0.0003173353,0.9918801,0.001467655],"study_design_scores_gemma":[0.0009400905,0.00004576767,0.2609197,0.001940088,0.0002505197,0.0001290597,0.001440322,0.0009716156,0.0003985649,0.0008173354,0.7319782,0.0001688976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002904886,0.00003350627,0.00002014939,0.00004475629,0.00001319571,0.00001869315,0.9992772,0.00002278334,0.000279352],"genre_scores_gemma":[0.002017312,0.00008981322,0.0002015509,0.00007670982,0.000008389835,0.0002545114,0.9952082,0.00003645855,0.002107017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03812858,"threshold_uncertainty_score":0.1275528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005635270030693124,"score_gpt":0.2397601393339628,"score_spread":0.2341248693032696,"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."}}