{"id":"W2280147890","doi":"","title":"Adaptation d’un indice journalier de risque d’incendie de forêt au contexte méditerranéen. Protection des forêts méditerranéennes contre le feu","year":2014,"lang":"fr","type":"preprint","venue":"DSpace (Centre National De La Recherche Scientifique)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.005920968,0.0007364819,0.0005663252,0.002725579,0.0008025917,0.003866236,0.001089921,0.00110762,0.009024466],"category_scores_gemma":[0.01810061,0.0003034348,0.001022657,0.00256637,0.001317644,0.001451232,0.001611425,0.001118453,0.001359148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002763253,"about_ca_system_score_gemma":0.00497296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03562431,"about_ca_topic_score_gemma":0.03793517,"domain_scores_codex":[0.9952015,0.00164363,0.000270817,0.000898513,0.001525479,0.0004600647],"domain_scores_gemma":[0.9800663,0.007748534,0.005296892,0.0008703984,0.004647199,0.001370699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001394659,0.0006045178,0.7845671,0.002932939,0.0008998326,0.0008748296,0.01391579,0.007365008,0.0113966,0.01190021,0.011337,0.1528116],"study_design_scores_gemma":[0.0000611874,0.000745015,0.928213,0.0006671437,0.0004825152,0.0005400616,0.007426029,0.003268674,0.00320816,0.004054233,0.05119481,0.0001390987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580976,0.009981128,0.01787082,0.007820939,0.0007258183,0.0006636433,0.008894332,0.0003812269,0.09556464],"genre_scores_gemma":[0.972747,0.001934764,0.00963271,0.0005404275,0.0001454541,0.0002928325,0.001861523,0.00008343245,0.01276192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03562431,"threshold_uncertainty_score":0.07083392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08545506847120261,"score_gpt":0.3050660469174002,"score_spread":0.2196109784461976,"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."}}