{"id":"W1487914327","doi":"10.3917/sestr.018.0005","title":"Continuité, anticipation et résilience","year":2015,"lang":"fr","type":"article","venue":"Sécurité et stratégie","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Anticipation (artificial intelligence); Philosophy; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00167919,0.0004696619,0.0004204795,0.0003039048,0.0002037505,0.001138818,0.0006048701,0.0002224844,0.0007762457],"category_scores_gemma":[0.0004175681,0.0004678984,0.0001648851,0.0008971525,0.0003086207,0.003760539,0.0004037673,0.0004379821,0.002458668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006125382,"about_ca_system_score_gemma":0.0002348427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643608,"about_ca_topic_score_gemma":0.001214256,"domain_scores_codex":[0.9967958,0.00009951647,0.0006139573,0.0007268509,0.0008704661,0.0008934241],"domain_scores_gemma":[0.9983478,0.0001045856,0.000385654,0.0005748975,0.0004827568,0.0001043409],"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":[0.00008653911,0.0007355525,0.04501661,0.0007388071,0.00009223378,0.0002735588,0.0009080392,0.002130685,0.000108164,0.736934,0.1806285,0.03234734],"study_design_scores_gemma":[0.001679443,0.0001104357,0.01529847,0.0005485044,0.0002141929,0.000009827616,0.003347332,0.006290456,0.0001239198,0.0326609,0.9388688,0.0008477758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.323948,0.03339904,0.004007888,0.1077631,0.01266742,0.002366544,0.00006297833,0.0007090956,0.515076],"genre_scores_gemma":[0.9563609,0.00114226,0.0005534593,0.008931722,0.001413558,0.00005888427,0.0001163926,0.00006555656,0.03135724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7582403,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04803268081581732,"score_gpt":0.3077575182434025,"score_spread":0.2597248374275852,"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."}}