{"id":"W4410356826","doi":"10.4000/13x57","title":"Que peut nous apprendre la science-fiction sur les catastrophes métropolitaines ?","year":2025,"lang":"fr","type":"article","venue":"VertigO","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004425166,0.0002155033,0.0003393907,0.0005913675,0.0005032009,0.0002409942,0.0004600897,0.0001621039,0.0001644788],"category_scores_gemma":[0.0003509091,0.0002565763,0.0001321888,0.0009910843,0.0009176877,0.0005158664,0.0001657863,0.0001990288,0.0003388641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004928048,"about_ca_system_score_gemma":0.0005774477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152724,"about_ca_topic_score_gemma":0.0001179449,"domain_scores_codex":[0.9981166,0.00002532438,0.0005432793,0.0006212344,0.0001139811,0.0005796068],"domain_scores_gemma":[0.9991141,0.0001111678,0.0001649953,0.0003589481,0.0001354174,0.0001153946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002454936,0.0001667093,0.1576249,0.0001164101,0.00004417507,0.00001166693,0.0003449936,0.0003203936,0.00007484141,0.8004035,0.02411971,0.01674815],"study_design_scores_gemma":[0.000405744,0.00006808365,0.1886903,0.000207711,0.00001413301,0.00001475513,0.0007260059,0.001635252,0.0007932601,0.01417555,0.7929379,0.0003312456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7432564,0.06842108,0.01937752,0.01270963,0.005549863,0.0003963747,0.0001732522,0.00008185612,0.150034],"genre_scores_gemma":[0.9402186,0.005903288,0.001576304,0.0002641645,0.0001621829,0.00003137084,0.00001708693,0.00001542897,0.05181154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7862279,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571260151748616,"score_gpt":0.2521837479890541,"score_spread":0.2264711464715679,"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."}}