{"id":"W7038888393","doi":"","title":"L’effet d’un événement de fraude médiatisée sur la performance et le risque des entreprises","year":2020,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private enterprise; Private life; Passenger information","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004642394,0.0003868177,0.0004341485,0.001315005,0.001265917,0.006333184,0.0007461001,0.001780201,0.01754271],"category_scores_gemma":[0.02710235,0.0002514983,0.0003812876,0.001454306,0.001474368,0.00268822,0.001868967,0.00192063,0.002502513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215927,"about_ca_system_score_gemma":0.001458351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084935,"about_ca_topic_score_gemma":0.01058589,"domain_scores_codex":[0.9956726,0.00148609,0.0002412497,0.0003026685,0.001621181,0.0006761493],"domain_scores_gemma":[0.9464772,0.02231858,0.02206754,0.001586084,0.004208069,0.00334251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001426918,0.0009292575,0.788615,0.0006951031,0.0005911966,0.001365376,0.008800911,0.002089579,0.001474119,0.032749,0.01991424,0.1413493],"study_design_scores_gemma":[0.000112936,0.0009660447,0.8949801,0.0008679068,0.0003104876,0.000689445,0.02074272,0.003158272,0.002344177,0.00821445,0.06751554,0.00009787898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168464,0.003782368,0.0007757123,0.007864813,0.0001156732,0.00004881236,0.0005635153,0.00003556886,0.0699672],"genre_scores_gemma":[0.9787027,0.002002668,0.0002336712,0.0005811924,0.0001350344,0.00002700274,0.000289813,0.00001310238,0.01801488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01754271,"threshold_uncertainty_score":0.05868626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110330349265361,"score_gpt":0.1881091206749378,"score_spread":0.1770760857484017,"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."}}