{"id":"W6888974460","doi":"10.25318/2410005701-fra","title":"Indicateur avancé, Visiteurs internationaux entrant ou revenant au Canada par voie terrestre, selon le type de véhicule, la plaque d’immatriculation du véhicule et le type de voyageur","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":"Point (geometry); Work (physics); Ligne","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":[0.0006435497,0.002148032,0.001446534,0.005424911,0.001471112,0.002884468,0.002650522,0.001471029,0.026557],"category_scores_gemma":[0.005747388,0.0006248013,0.001246339,0.01245866,0.0006153777,0.001151245,0.001407642,0.001933414,0.02697734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008687083,"about_ca_system_score_gemma":0.01758126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8937664,"about_ca_topic_score_gemma":0.9527744,"domain_scores_codex":[0.9988116,0.00008877464,0.00009786467,0.000307202,0.0003904286,0.0003041464],"domain_scores_gemma":[0.9965412,0.0004332907,0.0002282685,0.0003572908,0.002110821,0.0003290931],"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":[0.00004524222,0.00001445999,0.003616709,0.0004419837,0.00003237277,0.00002176288,0.00004951846,0.0002940708,0.00007793379,0.0004001145,0.9927074,0.00229855],"study_design_scores_gemma":[0.000103732,0.00001132055,0.03184251,0.0004155548,0.00004918642,0.00006339527,0.0004178445,0.000826104,0.0004005159,0.0005810413,0.9652339,0.00005501876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002218291,0.00007357995,0.00003062785,0.00004785593,0.00001687824,0.000005180683,0.9989836,0.0001105678,0.0005099298],"genre_scores_gemma":[0.0009078415,0.000100024,0.0002189307,0.00002401491,0.000005690681,0.0000256365,0.9974746,0.00003287502,0.001210454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1062336,"threshold_uncertainty_score":0.2137184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005093942590653783,"score_gpt":0.2452457274812874,"score_spread":0.2401517848906336,"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."}}