{"id":"W6964521127","doi":"10.25318/87m0016x-fra","title":"Enquête sur les voyages des résidents du Canada : fichier de microdonnées à grande diffusion","year":2024,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Exclosure; Western europe","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":[0.0009103791,0.001399906,0.00125697,0.006096444,0.001755346,0.002667247,0.00198883,0.001068937,0.0170614],"category_scores_gemma":[0.006397646,0.000600373,0.0009485779,0.01701981,0.0004805347,0.0008149228,0.001417496,0.001461387,0.009443299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01176689,"about_ca_system_score_gemma":0.02478224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9732857,"about_ca_topic_score_gemma":0.9839274,"domain_scores_codex":[0.998792,0.00007907358,0.0001113054,0.0002766773,0.0004159887,0.0003249265],"domain_scores_gemma":[0.9952227,0.0005533158,0.0004208688,0.0003629614,0.002953601,0.000486483],"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":[0.0001177951,0.00002633823,0.02571326,0.0007983135,0.0001059376,0.00007362039,0.0003321394,0.0004905673,0.000155621,0.0008159331,0.9641975,0.007172937],"study_design_scores_gemma":[0.0001533615,0.00001981123,0.2082677,0.000929029,0.0001164558,0.00009523876,0.001172855,0.001046714,0.0005526967,0.0005662937,0.7870013,0.00007861737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001416955,0.0001624865,0.0000467407,0.00008298355,0.00001122061,0.0000082918,0.9974623,0.00006671694,0.000742341],"genre_scores_gemma":[0.003738288,0.0002087793,0.0002449249,0.00004437511,0.000007270989,0.00004741967,0.9933172,0.00003401527,0.002357627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02671432,"threshold_uncertainty_score":0.08537519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008446972350123212,"score_gpt":0.2015821858551304,"score_spread":0.1931352135050072,"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."}}