{"id":"W6889025153","doi":"10.25318/1710003501-fra","title":"Estimations de la population, selon le groupe d'âge et le sexe, divisions de recensement et régions métropolitaines de recensement (méthode des composantes), frontières du recensement de 1991","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Division (mathematics); German; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004112209,0.001628287,0.001347443,0.0007309271,0.003050082,0.0008197268,0.001087662,0.0006615737,0.000236825],"category_scores_gemma":[0.01057255,0.00206992,0.0002138844,0.001429352,0.0007221553,0.0005842022,0.0005325066,0.001546473,0.00007051595],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01491376,"about_ca_system_score_gemma":0.006130734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7039883,"about_ca_topic_score_gemma":0.9058855,"domain_scores_codex":[0.9852796,0.006234404,0.002431086,0.001587916,0.002047669,0.002419385],"domain_scores_gemma":[0.9893401,0.004778908,0.001744322,0.001202527,0.001304352,0.001629844],"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":[0.0001568649,0.00152276,0.00629919,0.001044558,0.0005790578,0.0004826097,0.00257296,0.01520494,0.001655468,0.08524334,0.8830221,0.002216198],"study_design_scores_gemma":[0.002311522,0.0004418136,0.2614912,0.003031249,0.002092582,0.0004169798,0.005264395,0.08098465,0.0007307967,0.02228964,0.6180238,0.002921331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002949769,0.000542374,0.2897983,0.007947505,0.0004934202,0.001488205,0.6964871,0.00018098,0.0001122709],"genre_scores_gemma":[0.04921366,0.002843268,0.2737235,0.000894436,0.000190022,0.0005194524,0.6720939,0.0003475269,0.0001742973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2649982,"threshold_uncertainty_score":0.9996464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590197221570274,"score_gpt":0.3057814157919906,"score_spread":0.2898794435762879,"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."}}