{"id":"W6964035773","doi":"10.25318/9810017401-fra","title":"Langue maternelle selon la connaissance des langues officielles : Canada, provinces et territoires, divisions de recensement, subdivisions de recensement et aires de diffusion","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Population; Research methodology","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":[0.001172339,0.001487905,0.001679532,0.00615765,0.001518115,0.002729408,0.00250307,0.001253759,0.02855112],"category_scores_gemma":[0.01061068,0.0007682299,0.001411491,0.01866854,0.0005901795,0.001089475,0.001704147,0.00202273,0.01422838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01208749,"about_ca_system_score_gemma":0.02668885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9454852,"about_ca_topic_score_gemma":0.9619763,"domain_scores_codex":[0.99847,0.0001108156,0.0002045638,0.0003476811,0.0004896165,0.0003772688],"domain_scores_gemma":[0.9930113,0.001206786,0.0006134739,0.0005067316,0.003999517,0.0006622243],"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":[0.00008009421,0.00001517771,0.009096496,0.0007685775,0.00009515561,0.00002671665,0.0001152375,0.0003741859,0.00004819337,0.0005750819,0.9859428,0.002862221],"study_design_scores_gemma":[0.0003541617,0.0000146578,0.1276654,0.001549097,0.0001351318,0.00008905742,0.0005925453,0.0006359299,0.0002403171,0.0007942195,0.8678445,0.00008498064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002690561,0.0000953175,0.00001517337,0.00004482716,0.000006783352,0.000004265162,0.9991897,0.00003071839,0.0003442383],"genre_scores_gemma":[0.001677967,0.0001564901,0.0001391137,0.00004087447,0.000005221773,0.00005400434,0.9968412,0.00002559533,0.001059452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05451483,"threshold_uncertainty_score":0.1096717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146618244748016,"score_gpt":0.2447896847255521,"score_spread":0.2333235022780719,"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."}}