{"id":"W3089118447","doi":"10.7202/1071185ar","title":"Les coulisses du monde des catastrophes « naturelles », Sandrine Revet, 2018, Paris, Éditions de la Maison des sciences de l’homme, 240 p.","year":2019,"lang":"fr","type":"article","venue":"Études internationales","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[0.001625467,0.00215361,0.0009304357,0.003122525,0.00253806,0.006776484,0.001126803,0.002783285,0.01646792],"category_scores_gemma":[0.00321945,0.0006752039,0.0008233815,0.003039014,0.003979292,0.006131835,0.001779175,0.003571749,0.004585019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006975151,"about_ca_system_score_gemma":0.00506808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04872647,"about_ca_topic_score_gemma":0.06833684,"domain_scores_codex":[0.9991229,0.0002815787,0.00006859454,0.0001076223,0.000340316,0.00007897668],"domain_scores_gemma":[0.9989597,0.0004574466,0.0001371693,0.00005579796,0.0002724189,0.0001174507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000346863,0.00001095793,0.000373782,0.001007182,0.00002801286,0.0001133726,0.004587241,0.0002348303,0.0001484675,0.04086109,0.8892304,0.06336999],"study_design_scores_gemma":[0.000004632892,0.0000071309,0.001701504,0.000773805,0.000005552518,0.0001739302,0.001991607,0.00004388068,0.00006104705,0.007145268,0.9880785,0.00001311477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007452649,0.9148961,0.0008330242,0.04215431,0.01092944,0.00001086903,0.0006775026,0.0001151452,0.02963833],"genre_scores_gemma":[0.05508413,0.7788718,0.002703865,0.00817844,0.02263627,0.00009793288,0.001082095,0.0002965344,0.1310488],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04872647,"threshold_uncertainty_score":0.09688568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05119259220719622,"score_gpt":0.3348251718594472,"score_spread":0.2836325796522509,"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."}}