{"id":"W7020378719","doi":"","title":"La gestion des résultats dans le contexte canadien des fusions-acquisitions","year":2019,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Management by objectives; ESPACE","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004190553,0.0004004676,0.0007059856,0.0005156367,0.0006133128,0.00002871231,0.0004398479,0.0006722527,0.001070843],"category_scores_gemma":[0.0001499602,0.0005153036,0.0002727355,0.0003953516,0.00166306,0.0003033443,0.000180644,0.0005978364,0.0002386661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007698141,"about_ca_system_score_gemma":0.0003984328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9424677,"about_ca_topic_score_gemma":0.9988182,"domain_scores_codex":[0.9977921,0.0006089446,0.0003363489,0.000479064,0.0002512279,0.0005322967],"domain_scores_gemma":[0.9979246,0.0007665859,0.0003833716,0.0005608571,0.0001415619,0.0002230403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000277578,0.0006597405,0.001812831,0.001027397,0.0002922373,0.0003211326,0.1362068,0.0006351837,0.000616397,0.1877658,0.001287268,0.6690977],"study_design_scores_gemma":[0.005696381,0.0006348572,0.4662903,0.005163542,0.0007572242,0.0001961684,0.167193,0.006748728,0.0001067951,0.3318502,0.01380087,0.001561921],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6954902,0.0003035615,0.01965629,0.0001698855,0.0001760874,0.000635674,0.0002583867,0.00006539889,0.2832445],"genre_scores_gemma":[0.6146482,0.0004025055,0.006885043,0.00001424012,0.00004771304,0.00000223529,0.00006941145,0.00009954979,0.3778311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6675358,"threshold_uncertainty_score":0.9998423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710326524541994,"score_gpt":0.2077451714384537,"score_spread":0.1906419061930338,"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."}}