{"id":"W6945178646","doi":"10.25318/2310009901-fra","title":"Enquête sur les véhicules au Canada, passagers-kilomètres, selon le type de véhicule et l'âge du modèle du véhicule, trimestriel","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Ziziphus Jujuba Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Economic shortage; 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"],"consensus_categories":[],"category_scores_codex":[0.0004506109,0.0007010107,0.0006951008,0.00003767337,0.001619506,0.0001913496,0.0007337842,0.0004115361,0.0004960746],"category_scores_gemma":[0.001130551,0.0004558308,0.00008861308,0.0006297246,0.0001941404,0.0001353467,0.0002272431,0.0005825841,0.00002904147],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778653,"about_ca_system_score_gemma":0.005869769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964238,"about_ca_topic_score_gemma":0.9996693,"domain_scores_codex":[0.996166,0.0003036351,0.0007630381,0.0008641719,0.0009311804,0.0009720068],"domain_scores_gemma":[0.9957713,0.001970131,0.0006480041,0.0003091367,0.000887348,0.0004140217],"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":[0.00002948021,0.0001911325,0.001698706,0.000187475,0.0001097869,0.00007913565,0.00005813883,0.0002654923,0.0005880862,0.009454386,0.9818487,0.005489551],"study_design_scores_gemma":[0.0002204871,0.0001458562,0.1068043,0.000191558,0.0001814213,0.00002059091,0.00135005,0.0009519904,0.0001894726,0.0001047957,0.8890467,0.000792818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01935737,0.0008964607,0.0002522495,0.02352993,0.001191839,0.0008830464,0.9533749,0.00003019314,0.0004839861],"genre_scores_gemma":[0.1876053,0.001952863,0.0003517167,0.0005485837,0.0007207424,0.0001192771,0.8032432,0.00001781918,0.005440564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1682479,"threshold_uncertainty_score":0.9997894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455748922158335,"score_gpt":0.2262075234494252,"score_spread":0.2116500342278418,"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."}}