{"id":"W4286542030","doi":"10.2139/ssrn.4149636","title":"Intelligence Artificielle : Opportunités et enjeux managériaux (Artificial Intelligence: Opportunities and Managerial Challenges)","year":2022,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Business intelligence; Computer science; Knowledge management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006885864,0.0005848929,0.0005366891,0.000935164,0.001783454,0.001287831,0.0009481822,0.0001622573,0.005011064],"category_scores_gemma":[0.0003318877,0.0006944192,0.0002218381,0.0009070476,0.0003566448,0.002093959,0.00126132,0.003453332,0.0001780156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022139,"about_ca_system_score_gemma":0.002465232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003048344,"about_ca_topic_score_gemma":0.001753987,"domain_scores_codex":[0.9936441,0.0004108079,0.001281865,0.0007240906,0.001013526,0.002925575],"domain_scores_gemma":[0.9977735,0.0002082966,0.0009051636,0.0004725339,0.0005269437,0.0001135046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001947527,0.0002524278,0.00002807194,0.0001489093,0.000184493,0.0001247463,0.0005434424,0.002359682,0.00001230601,0.6514121,0.001381158,0.3433579],"study_design_scores_gemma":[0.0001463581,0.0002409885,0.00001190764,0.00010908,0.0002020342,0.0004430824,0.1331604,0.00684305,0.00001329629,0.4586791,0.399559,0.0005916823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01710985,0.3891864,0.1144425,0.3975295,0.02669554,0.002028028,0.0001075672,0.0004498075,0.0524508],"genre_scores_gemma":[0.7971234,0.1694395,0.0001004224,0.001963045,0.003592732,0.0001015317,0.00006550634,0.0001398072,0.02747412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7800135,"threshold_uncertainty_score":0.9997489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0995436833765571,"score_gpt":0.2971618129019502,"score_spread":0.1976181295253931,"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."}}