{"id":"W1979463061","doi":"10.4000/vertigo.10139","title":"Risques littoraux et préparation à la gestion de crise : quelles synergies entre l’état et les collectivités territoriales ? Exemple de la gestion des pollutions maritimes","year":2010,"lang":"fr","type":"article","venue":"VertigO","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":[0.001184,0.0003030257,0.0002912628,0.001185314,0.002879542,0.003009697,0.0005172468,0.0009780774,0.01460983],"category_scores_gemma":[0.002180817,0.0003084698,0.0004313031,0.001524197,0.003684552,0.001774107,0.002623442,0.0009886181,0.0007466581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004628831,"about_ca_system_score_gemma":0.004402664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1495553,"about_ca_topic_score_gemma":0.291329,"domain_scores_codex":[0.9989605,0.000320592,0.00002916181,0.0001510381,0.0001980611,0.0003406175],"domain_scores_gemma":[0.9981495,0.0003202184,0.0005522962,0.0001402994,0.0003383781,0.0004992294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002464978,0.0002627569,0.627398,0.0003479341,0.0002388431,0.002172646,0.07782494,0.00409796,0.006104388,0.179885,0.009112138,0.09230891],"study_design_scores_gemma":[0.00001656417,0.0001697051,0.8479865,0.0002136368,0.00008325242,0.0005411047,0.04920689,0.0009605788,0.0007909919,0.01323939,0.0867172,0.00007423977],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8925238,0.001156025,0.002292822,0.007687251,0.00003485892,0.0000378829,0.0003541111,0.00003805744,0.09587515],"genre_scores_gemma":[0.977748,0.0008105091,0.0007879979,0.0002047491,0.00001706621,0.00001947062,0.0001353846,0.00001284132,0.0202639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1495553,"threshold_uncertainty_score":0.2973696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276874421712986,"score_gpt":0.2966983352854724,"score_spread":0.2690108931141738,"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."}}