{"id":"W2741051315","doi":"","title":"Local adaptation of a Fire Risk Index to the Mediterranean context. Protection of the Mediterranean forests against fire","year":2014,"lang":"en","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":"Mediterranean climate; Context (archaeology); Index (typography); Fire protection; Adaptation (eye); Geography; Environmental resource management; Forestry; Environmental science; Engineering; Computer science; Civil engineering; Archaeology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0144239,0.0003831802,0.0004163336,0.0001184943,0.0002612315,0.0001020305,0.001326781,0.000931768,0.0001695583],"category_scores_gemma":[0.007332735,0.0002636217,0.0003117858,0.0009119592,0.0007600703,0.0001515979,0.0008299832,0.001750931,0.0000675033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894362,"about_ca_system_score_gemma":0.0004086632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007477503,"about_ca_topic_score_gemma":0.01909448,"domain_scores_codex":[0.9899315,0.006013041,0.0006663416,0.0008017077,0.002181002,0.0004063598],"domain_scores_gemma":[0.9953205,0.002265925,0.001095091,0.0007991815,0.0003382577,0.0001810272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001921273,0.0003115201,0.008465022,0.0005928883,0.0001384698,0.000002442038,0.02196188,0.624283,0.002141016,0.0001196014,0.0260161,0.3157759],"study_design_scores_gemma":[0.0004955379,0.00003869976,0.03762277,0.0008935171,0.00004857578,0.000007149276,0.0005308046,0.9460248,0.003696656,0.001805122,0.008534864,0.0003015457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8639224,0.0001546459,0.1168683,0.008605845,0.002248244,0.004994013,0.0003999847,0.000094364,0.00271226],"genre_scores_gemma":[0.9972694,0.00002265426,0.001031688,0.0002149077,0.0001740902,0.000188442,0.00006742859,0.000045874,0.0009855486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3217417,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07216259551414003,"score_gpt":0.2966444495493291,"score_spread":0.224481854035189,"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."}}