{"id":"W6981743812","doi":"","title":"Évaluation de l'impact des feux d'artifice sur l'environnement","year":2018,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Climate extremes","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005024884,0.0008451746,0.0009681992,0.001231124,0.000770404,0.002712215,0.0009296169,0.001310435,0.004475761],"category_scores_gemma":[0.005484388,0.0002997495,0.001589361,0.001243111,0.001236977,0.00132524,0.001212173,0.000751184,0.0006493429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847892,"about_ca_system_score_gemma":0.001626314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007838863,"about_ca_topic_score_gemma":0.01488301,"domain_scores_codex":[0.9947771,0.001560397,0.0002258231,0.0005011772,0.002673144,0.0002623684],"domain_scores_gemma":[0.9939455,0.00250777,0.0005708268,0.0005398267,0.002263237,0.0001727609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002937933,0.001277264,0.1114263,0.00792756,0.0008789088,0.001027899,0.002011458,0.07333144,0.4034942,0.009688723,0.003827594,0.3821707],"study_design_scores_gemma":[0.0001586743,0.01259814,0.2338272,0.001608184,0.001162311,0.0006866758,0.006801378,0.04751864,0.6059712,0.007728412,0.08161226,0.0003269213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020398,0.008117656,0.04482086,0.001040928,0.0003778351,0.000660336,0.00155454,0.0001923944,0.04119552],"genre_scores_gemma":[0.9539981,0.004468278,0.02861382,0.0002517854,0.00003031875,0.0002686281,0.0008500178,0.0000734198,0.01144552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007838863,"threshold_uncertainty_score":0.02657443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824065188951371,"score_gpt":0.2164559673310482,"score_spread":0.1982153154415345,"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."}}