{"id":"W6913163486","doi":"10.5683/sp3/hcy1kd","title":"Enquête sur les voyages des résidents du Canada, 2017 : fichier des personnes, janvier","year":2018,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Statistical analysis; CONQUEST; Identity (music); Economic shortage","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579964,0.0004647851,0.0004216891,0.002422258,0.007530255,0.004422533,0.0007179141,0.0006770956,0.01551819],"category_scores_gemma":[0.004364244,0.0002715921,0.0003860785,0.005504696,0.001399423,0.001168148,0.001782089,0.001437607,0.002256459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04183358,"about_ca_system_score_gemma":0.0665938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911268,"about_ca_topic_score_gemma":0.9947872,"domain_scores_codex":[0.9984105,0.0001102441,0.00006172523,0.0001812746,0.0008357291,0.0004004573],"domain_scores_gemma":[0.9962949,0.0001690609,0.0001382675,0.00004546035,0.00260116,0.0007511414],"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":[0.0001330236,0.00006647195,0.139229,0.0006429415,0.00006492271,0.000620632,0.06324138,0.0002435356,0.0006668514,0.005474051,0.6526976,0.1369196],"study_design_scores_gemma":[0.000004795174,0.00002766848,0.2659385,0.0006819136,0.00002052324,0.0001362801,0.06650832,0.0001303156,0.0002073342,0.000189596,0.666083,0.00007169508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4877104,0.05668395,0.002155614,0.102799,0.01092065,0.000499294,0.1362372,0.0004669732,0.2025269],"genre_scores_gemma":[0.5049607,0.05100718,0.002932939,0.009526458,0.001172086,0.0004190244,0.03871142,0.0003835521,0.3908867],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04183358,"threshold_uncertainty_score":0.3035253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735092288546616,"score_gpt":0.2502333165012334,"score_spread":0.2228823936157673,"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."}}