{"id":"W2914766973","doi":"10.3166/isi.22.6.93-117","title":"Alerter ou ne pas alerter ? Une intégration de connaissances sur les comportements des populations dans les systèmes d’alerte","year":2017,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"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":[0.01181599,0.001173252,0.001242268,0.005364631,0.001608277,0.00697678,0.001393571,0.00133774,0.005998277],"category_scores_gemma":[0.05708123,0.0007200331,0.00135966,0.00532793,0.001537816,0.005155593,0.002070922,0.001789256,0.001533459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334947,"about_ca_system_score_gemma":0.005318949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03531577,"about_ca_topic_score_gemma":0.03229031,"domain_scores_codex":[0.9857578,0.005223968,0.001808022,0.002883508,0.00373122,0.000595396],"domain_scores_gemma":[0.9487283,0.03228456,0.004306529,0.003385114,0.01076256,0.0005329798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00103298,0.0003776819,0.2257404,0.005224979,0.001078034,0.0006530539,0.03506346,0.0210997,0.01530293,0.03552936,0.01628773,0.6426097],"study_design_scores_gemma":[0.0002604951,0.001145215,0.3739652,0.003972533,0.00183245,0.001266764,0.04959784,0.2100714,0.04386595,0.06267519,0.2504905,0.0008565532],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.319941,0.003528969,0.6087029,0.007016149,0.000577041,0.002931703,0.01046238,0.004235327,0.04260458],"genre_scores_gemma":[0.5743649,0.001662551,0.4065061,0.0006570301,0.0001224606,0.001563809,0.004268431,0.0003244875,0.01053023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03531577,"threshold_uncertainty_score":0.07022041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08177224836992397,"score_gpt":0.3082108084238186,"score_spread":0.2264385600538946,"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."}}