{"id":"W6963909912","doi":"10.25318/9810029901-fra","title":"Langue autochtone parlée à la maison par réponses uniques et multiples portant sur la langue parlée à la maison : Canada, provinces et territoires","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Power (physics); Identity (music)","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":[0.001128277,0.001581921,0.00145344,0.004852803,0.001520874,0.00262257,0.002582142,0.001315387,0.019909],"category_scores_gemma":[0.008425123,0.0006933523,0.001294499,0.01380846,0.0006294153,0.0009509179,0.001552195,0.002055851,0.01234107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01383241,"about_ca_system_score_gemma":0.03286235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722686,"about_ca_topic_score_gemma":0.9832812,"domain_scores_codex":[0.9986885,0.00009921627,0.0001391039,0.000229927,0.0004153958,0.0004279161],"domain_scores_gemma":[0.9938398,0.0006245819,0.0005479548,0.0004782798,0.003783551,0.0007259474],"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":[0.0000919285,0.0000216627,0.009136103,0.0003704856,0.00005808091,0.00002766384,0.00008172875,0.0003617767,0.00004098277,0.0005495585,0.9863826,0.002877545],"study_design_scores_gemma":[0.0004544319,0.00002921013,0.1786647,0.001061702,0.0001175777,0.0001089424,0.0008095853,0.001370133,0.0003542101,0.0008963582,0.8160293,0.0001039283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000489732,0.00009315618,0.00002173937,0.00009620985,0.00001531169,0.000008215766,0.9987399,0.0000476251,0.000488036],"genre_scores_gemma":[0.002419759,0.0001628392,0.0001514675,0.00006801556,0.00001094953,0.00005492489,0.9949391,0.00002602949,0.002166905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02773142,"threshold_uncertainty_score":0.1003616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007097141625703618,"score_gpt":0.2771326011622375,"score_spread":0.2700354595365339,"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."}}