{"id":"W6945416822","doi":"10.25318/3210011601-fra","title":"Bilan des visons et renards dans les fermes d'élevage et nombre de fermes","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Subject (documents); Base (topology)","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":[0.0009933567,0.001798232,0.00166155,0.005583186,0.001206485,0.002380238,0.002241953,0.00149945,0.01355848],"category_scores_gemma":[0.006672556,0.0004767023,0.001466357,0.008986957,0.0006914631,0.001199649,0.001273146,0.001584053,0.01500522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006534483,"about_ca_system_score_gemma":0.008957003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6661153,"about_ca_topic_score_gemma":0.8074782,"domain_scores_codex":[0.9984109,0.00009910663,0.0001518969,0.0004326348,0.0004984557,0.0004069661],"domain_scores_gemma":[0.9968202,0.0006330406,0.0002605277,0.0003397454,0.001664942,0.000281552],"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":[0.0003183889,0.0000529337,0.02275344,0.0008828444,0.0001370947,0.00006288323,0.00008291115,0.001519652,0.0003061618,0.0006298716,0.960189,0.01306492],"study_design_scores_gemma":[0.0005738303,0.00008384698,0.2044411,0.0008205137,0.000307256,0.0005552535,0.001443147,0.007608566,0.001914932,0.002092033,0.7799911,0.0001683777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0041498,0.0003627577,0.0001339393,0.0001815438,0.00004003234,0.0000157228,0.993272,0.0003723129,0.001471981],"genre_scores_gemma":[0.005918659,0.0001916994,0.0004288717,0.00003846481,0.000009778531,0.00002842927,0.991744,0.00004636225,0.00159375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3338847,"threshold_uncertainty_score":0.671702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830020322332967,"score_gpt":0.3388286313351523,"score_spread":0.3105284281118227,"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."}}