{"id":"W2144828720","doi":"10.4000/vertigo.11910","title":"Gestion des risques naturels : modéliser quoi, pour qui ?","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001157053,0.001261626,0.001319875,0.0008854817,0.0007306986,0.004789964,0.002244819,0.003096241,0.00777583],"category_scores_gemma":[0.005043626,0.0009881078,0.001882568,0.00119024,0.00227303,0.004933468,0.002373857,0.003014258,0.001304446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510819,"about_ca_system_score_gemma":0.002953304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093597,"about_ca_topic_score_gemma":0.01160752,"domain_scores_codex":[0.9992539,0.0002378742,0.00003815057,0.0002521025,0.0001429977,0.00007505221],"domain_scores_gemma":[0.9988683,0.0005977937,0.0001561199,0.0001581278,0.0001486978,0.00007098169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006024699,0.00009096686,0.01005962,0.0004444197,0.0002028674,0.0003006015,0.001027992,0.756737,0.003355848,0.1979895,0.003782993,0.02594795],"study_design_scores_gemma":[0.00003608257,0.00009418398,0.003759442,0.0002225124,0.0001472742,0.0002228354,0.0006371917,0.7387696,0.001093339,0.2263976,0.02849402,0.0001259929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07398251,0.0031337,0.8541757,0.0107879,0.0005164839,0.0002000016,0.001956459,0.0009246094,0.05432258],"genre_scores_gemma":[0.7618735,0.007318847,0.1788537,0.001539732,0.0005438789,0.0009321355,0.001373232,0.0006730421,0.04689197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02093597,"threshold_uncertainty_score":0.04162824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956746107946633,"score_gpt":0.2167929768086705,"score_spread":0.1972255157292042,"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."}}