{"id":"W6926443003","doi":"10.25318/2410005501-fra","title":"Visiteurs non-résidents entrant au Canada selon le pays de résidence, le mode de transport, le type d’arrivée et le type de voyageur","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Point (geometry)","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":[0.0006673501,0.001581888,0.001279691,0.005190703,0.001463025,0.002362654,0.002282867,0.001303156,0.0254092],"category_scores_gemma":[0.006462427,0.0005375727,0.001124018,0.01230055,0.0005151129,0.0007395874,0.001186012,0.001628166,0.021738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006768601,"about_ca_system_score_gemma":0.01496215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8587239,"about_ca_topic_score_gemma":0.9235426,"domain_scores_codex":[0.9989052,0.00008528871,0.0001056584,0.0002791678,0.0003559675,0.0002687702],"domain_scores_gemma":[0.9966856,0.0006074972,0.0003289606,0.0003486539,0.001678433,0.0003508031],"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":[0.00008522227,0.00002165423,0.00927798,0.0006669575,0.00006573807,0.00004566328,0.00008996288,0.0004278581,0.0001059055,0.0007107838,0.984473,0.004029191],"study_design_scores_gemma":[0.0001340731,0.00001375659,0.05005019,0.0006512117,0.00007177217,0.0001112216,0.0004412454,0.0006118673,0.000315078,0.0005853646,0.9469656,0.00004844714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004277932,0.000115546,0.00003333888,0.00005180382,0.00001358273,0.000005539475,0.9986069,0.00007005935,0.0006755058],"genre_scores_gemma":[0.001484818,0.0001575214,0.0002087464,0.00003551389,0.000006611556,0.00003082429,0.9963613,0.00002486016,0.001689874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1412761,"threshold_uncertainty_score":0.2842161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005448175747951158,"score_gpt":0.2498826518482082,"score_spread":0.2444344761002571,"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."}}