{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005373785,0.001561871,0.001118316,0.0005907564,0.002308324,0.0003723313,0.001396727,0.000531263,0.0012833],"category_scores_gemma":[0.003735292,0.002022526,0.0001541914,0.001006797,0.000262777,0.000514589,0.0004310121,0.002392032,0.00000710543],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02556824,"about_ca_system_score_gemma":0.06587812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941616,"about_ca_topic_score_gemma":0.9998184,"domain_scores_codex":[0.9853761,0.004479577,0.002099528,0.001829473,0.003951292,0.002264061],"domain_scores_gemma":[0.9910908,0.003590414,0.001795043,0.001225415,0.00101067,0.001287689],"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":[0.0001536133,0.001455737,0.002789192,0.0009108212,0.0003299674,0.002955906,0.001924633,0.01713762,0.001352853,0.01945911,0.9477362,0.003794338],"study_design_scores_gemma":[0.001339822,0.0002145241,0.1197017,0.001090358,0.0007219273,0.0003092115,0.002690939,0.01934368,0.000513974,0.0004981228,0.8516028,0.001972908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01664609,0.0003086491,0.03437039,0.01318497,0.0007300002,0.002272556,0.9319857,0.0001265857,0.0003750538],"genre_scores_gemma":[0.1161271,0.0008808143,0.02220899,0.001267879,0.0001029498,0.001020289,0.8558071,0.0004349875,0.00214986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1169125,"threshold_uncertainty_score":0.9999095,"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."}}