{"id":"W4285805127","doi":"10.3917/i2d.221.0044","title":"L’intelligence artificielle au service du monde des fusions acquisitions : la plateforme Sealk","year":2022,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004171583,0.001111712,0.0006751344,0.003253037,0.002191613,0.01125201,0.001775085,0.00300603,0.0213332],"category_scores_gemma":[0.01008353,0.001049402,0.001733903,0.004618577,0.006341532,0.01020947,0.004777786,0.003086166,0.007416576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005882014,"about_ca_system_score_gemma":0.005489181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03901477,"about_ca_topic_score_gemma":0.01944395,"domain_scores_codex":[0.9947274,0.001335667,0.0004773666,0.001080401,0.001956214,0.000422923],"domain_scores_gemma":[0.9935229,0.002471393,0.0006704204,0.001364913,0.00173072,0.0002396287],"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":[0.0005733724,0.00008773401,0.007277471,0.001104802,0.00009591724,0.001172786,0.008271494,0.03838912,0.006006328,0.7003223,0.04774856,0.1889501],"study_design_scores_gemma":[0.00006043284,0.0002628843,0.01016179,0.0009672244,0.00008304012,0.001462121,0.006149832,0.07899298,0.01266753,0.1425174,0.746417,0.0002577695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07780909,0.006703144,0.4942962,0.03253826,0.001092872,0.001058654,0.00530948,0.002923902,0.3782685],"genre_scores_gemma":[0.4304111,0.007059094,0.3346865,0.002707901,0.0003898201,0.0008213685,0.003340721,0.0008041635,0.2197793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03901477,"threshold_uncertainty_score":0.07757533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02832188299364034,"score_gpt":0.2393880436344455,"score_spread":0.2110661606408052,"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."}}