{"id":"W6888915728","doi":"10.25318/9810057101-fra","title":"Indicateurs de qualité des données du questionnaire détaillé pour le navettage : Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement","year":2023,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Public health; Census","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":[0.00591249,0.00183624,0.001546498,0.006085119,0.001551133,0.003156736,0.002664031,0.001814839,0.05519153],"category_scores_gemma":[0.06208771,0.000871303,0.001734237,0.01629449,0.0006845405,0.001485998,0.001951617,0.002410677,0.0247914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01870591,"about_ca_system_score_gemma":0.04015382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9158574,"about_ca_topic_score_gemma":0.9201685,"domain_scores_codex":[0.9915648,0.001160039,0.00147062,0.001194289,0.003313211,0.001297149],"domain_scores_gemma":[0.945772,0.01376804,0.0030279,0.002995424,0.03257119,0.00186552],"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":[0.0001131552,0.00002655205,0.0097048,0.0007799201,0.00005812092,0.00001423158,0.0001306858,0.0002745565,0.00004827072,0.000330604,0.9845098,0.004009236],"study_design_scores_gemma":[0.0006999917,0.00004426045,0.2654549,0.001778621,0.0001415423,0.0000602524,0.001119926,0.000926487,0.0004749303,0.000808508,0.728337,0.000153591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004132135,0.00005659454,0.00004700658,0.0001151632,0.00001651331,0.00003284769,0.9985936,0.00006808258,0.0006569293],"genre_scores_gemma":[0.00290974,0.0001341583,0.0004176599,0.0001115991,0.0000117775,0.000513392,0.9931468,0.00006931628,0.002685371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08414263,"threshold_uncertainty_score":0.1846341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014141924588593,"score_gpt":0.3047355976139537,"score_spread":0.2845941783680678,"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."}}