{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002716942,0.0004567262,0.0002643792,0.001597342,0.002067997,0.007313862,0.0005199934,0.001584929,0.005402061],"category_scores_gemma":[0.005984549,0.0001977878,0.0004051343,0.001366241,0.01128825,0.005185559,0.004394431,0.002368932,0.0004316486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003974982,"about_ca_system_score_gemma":0.004131709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006592738,"about_ca_topic_score_gemma":0.005440335,"domain_scores_codex":[0.9978376,0.001017848,0.0001051356,0.0002730706,0.000438497,0.0003278698],"domain_scores_gemma":[0.9942014,0.002239973,0.001523369,0.0003472096,0.0007601001,0.0009280298],"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":[0.0001312097,0.0001659318,0.02471878,0.0004519136,0.00007630545,0.0006284721,0.03862019,0.001891466,0.0009715917,0.8550707,0.007779597,0.0694939],"study_design_scores_gemma":[0.00003006247,0.0002580013,0.0571037,0.001316845,0.00007470354,0.0009623598,0.05932696,0.002265217,0.0008898875,0.6503269,0.2272563,0.0001890711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3201247,0.02119989,0.03130016,0.08673602,0.001519788,0.0002207653,0.0004030079,0.0002357095,0.53826],"genre_scores_gemma":[0.9789799,0.004233757,0.002748546,0.00135231,0.0001961164,0.00007691021,0.00007106794,0.00002099833,0.01232048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007313862,"threshold_uncertainty_score":0.02884072,"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."}}