{"id":"W4406394426","doi":"10.7202/1115070ar","title":"LA GÉOPOLITIQUE DE L’INTELLIGENCE ARTIFICIELLE : RÉGULATION ET PUISSANCE","year":2024,"lang":"fr","type":"article","venue":"Lex Electronica","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006643246,0.000273067,0.0002011995,0.000139128,0.0001559571,0.001441973,0.0002735286,0.0002444919,0.001095976],"category_scores_gemma":[0.00009171182,0.0002861439,0.0001395582,0.0006765221,0.0003384102,0.001737191,0.00008270768,0.0007010943,0.002163495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073589,"about_ca_system_score_gemma":0.0005624148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380774,"about_ca_topic_score_gemma":0.0002227045,"domain_scores_codex":[0.9978489,0.00007377267,0.0003561951,0.0004400374,0.000200345,0.001080742],"domain_scores_gemma":[0.9993033,0.0001960517,0.00007570448,0.0002664482,0.0001152718,0.00004318291],"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":[0.00001243588,0.00006204962,0.0001766418,0.0005312018,0.00003696646,0.00006013712,0.00006964325,0.001007227,0.001293292,0.9733381,0.01017328,0.01323907],"study_design_scores_gemma":[0.00002834916,0.00002320954,0.0004823944,0.0003081668,0.00005514483,0.00001727817,0.0001158941,0.02948875,0.001321665,0.4568416,0.5110738,0.0002437946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04810716,0.06992927,0.01780318,0.06433503,0.002229806,0.0004101454,0.00001588687,0.0007265355,0.796443],"genre_scores_gemma":[0.973607,0.001090547,0.00008729936,0.002950522,0.001949058,0.00003304004,0.00002541108,0.00004520021,0.0202119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9254999,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454872759996712,"score_gpt":0.2976436460682171,"score_spread":0.27309491846825,"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."}}