{"id":"W7007938987","doi":"","title":"Analyse des embâcles de glace sur le fleuve Saint-Laurent lors de l'hiver 2018-2019 et développement d'un outil d'évaluation des risques d'embâcles","year":2022,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire history; Georeference; Constellation","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":[0.0007640801,0.0005917994,0.0003076997,0.00196368,0.00117045,0.001699787,0.0005029836,0.0003945405,0.00646677],"category_scores_gemma":[0.001663276,0.0001941343,0.0004899746,0.002123933,0.0005620117,0.0009250376,0.0009103275,0.0005363794,0.001172145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003897946,"about_ca_system_score_gemma":0.003567294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4311162,"about_ca_topic_score_gemma":0.5993283,"domain_scores_codex":[0.9993042,0.00007150754,0.00002261624,0.0001047126,0.0003575977,0.0001393865],"domain_scores_gemma":[0.9984786,0.0001570764,0.0001746505,0.00005257017,0.001011871,0.0001253447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003801025,0.0001097762,0.7851313,0.0008714903,0.000240898,0.002677893,0.01049562,0.01849369,0.01056793,0.004899051,0.01972653,0.1464057],"study_design_scores_gemma":[0.000009092952,0.0001102052,0.8999905,0.0002786104,0.00008032285,0.0002866556,0.0150837,0.007793664,0.00333626,0.0004971952,0.07246883,0.00006492992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460654,0.001399304,0.004773057,0.0007421421,0.00006590279,0.0001199113,0.007397003,0.0002154096,0.03922191],"genre_scores_gemma":[0.9556063,0.001291174,0.003877451,0.0001071893,0.00002210374,0.0000881225,0.007042943,0.0001189033,0.03184582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5688838,"threshold_uncertainty_score":0.8572137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236300739773717,"score_gpt":0.2260308798556913,"score_spread":0.2036678724579542,"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."}}