{"id":"W6907916375","doi":"10.25318/9810046201-fra","title":"Destination du navettage selon le principal mode de transport pour la navette, l'âge et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); China; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007830701,0.001746915,0.001389417,0.005487262,0.001547952,0.0026902,0.002321223,0.001492613,0.0483186],"category_scores_gemma":[0.008479067,0.0008182373,0.00112135,0.01706826,0.0005388429,0.001089893,0.001464269,0.001967676,0.04015845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01041919,"about_ca_system_score_gemma":0.02590941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9161429,"about_ca_topic_score_gemma":0.9451355,"domain_scores_codex":[0.9987389,0.00008925969,0.000148497,0.0002578951,0.0004362391,0.00032924],"domain_scores_gemma":[0.9939927,0.0008515389,0.0004450888,0.000461559,0.003738751,0.0005104215],"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":[0.00003507772,0.000009534434,0.002112354,0.0003442001,0.00002043327,0.00001589067,0.00003643879,0.0001764522,0.00003469756,0.0003496349,0.9954097,0.001455746],"study_design_scores_gemma":[0.0001684694,0.000009017409,0.03289286,0.0006913951,0.00004268561,0.00005125767,0.0003318677,0.0003522883,0.0002210465,0.0005091107,0.964682,0.00004801643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001102072,0.0000489959,0.00001319752,0.00004098702,0.000009878221,0.000004004151,0.999283,0.0000353085,0.0004544941],"genre_scores_gemma":[0.0005868759,0.0001020174,0.0001072672,0.00002949126,0.000004356717,0.00003018067,0.9976826,0.00002469381,0.00143251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08385712,"threshold_uncertainty_score":0.1687019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008741655805528041,"score_gpt":0.2748874502818601,"score_spread":0.2661457944763321,"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."}}