{"id":"W6945394337","doi":"10.25318/2310028701-fra","title":"Mouvements itinérants intérieurs et internationaux d'aéronefs, total de tous les aéroports dotés d'une tour de contrôle de NAV CANADA, hebdomadaire","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Lafora disease; Identification (biology); Ridiculous","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":[0.0009283083,0.001846426,0.001334099,0.004514539,0.0009962341,0.002015459,0.002674094,0.001499594,0.03128745],"category_scores_gemma":[0.007629249,0.0007093715,0.001332294,0.01123666,0.0004042585,0.001054094,0.001132818,0.001869814,0.01920936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008550166,"about_ca_system_score_gemma":0.01913407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9042553,"about_ca_topic_score_gemma":0.9255253,"domain_scores_codex":[0.9989467,0.00006683165,0.000115689,0.000217495,0.000383183,0.000270079],"domain_scores_gemma":[0.9956388,0.0005821188,0.0004238879,0.0002865472,0.002632502,0.0004362382],"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":[0.00005203865,0.00001247541,0.002699554,0.000447275,0.00003423016,0.00001132708,0.00002103023,0.0004306787,0.00003347197,0.0004186806,0.9940391,0.001800393],"study_design_scores_gemma":[0.0003558898,0.00002297693,0.04936979,0.000818485,0.00008276632,0.00005564983,0.0002823093,0.001249177,0.000298045,0.0008182945,0.9465725,0.0000741341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001016778,0.00004695884,0.00001492801,0.00004187538,0.00001144955,0.000003319492,0.9994499,0.00003816144,0.0002917481],"genre_scores_gemma":[0.0008339282,0.0001141097,0.0001358369,0.00004481525,0.000007170084,0.0000325678,0.9974926,0.00002745687,0.00131163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09574473,"threshold_uncertainty_score":0.1926171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008524236012414185,"score_gpt":0.271738044582163,"score_spread":0.2632138085697488,"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."}}