{"id":"W4393051924","doi":"10.3917/riges.484.0073","title":"Surexcitation artificielle pour l’IA ?","year":2024,"lang":"fr","type":"article","venue":"Gestion","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003468102,0.001022728,0.0006933768,0.0007959988,0.0008553622,0.004746249,0.002038017,0.002283493,0.01153874],"category_scores_gemma":[0.01343045,0.0003947094,0.0008796967,0.001152171,0.002703893,0.006050266,0.00227877,0.003254618,0.003278921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732201,"about_ca_system_score_gemma":0.001785991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363334,"about_ca_topic_score_gemma":0.002884417,"domain_scores_codex":[0.9969891,0.001261086,0.0001743392,0.0005578421,0.0008306201,0.0001870772],"domain_scores_gemma":[0.9939631,0.003104483,0.0003901518,0.001611948,0.0006962183,0.0002341207],"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":[0.0001267228,0.0001167964,0.001052272,0.0006356132,0.00007714076,0.0001950406,0.0003760167,0.05188429,0.005816905,0.6883733,0.02247266,0.2288733],"study_design_scores_gemma":[0.0000289324,0.0001120264,0.0006184068,0.0003605487,0.00003220693,0.0003856837,0.0003787626,0.1663796,0.003961864,0.5548925,0.2727988,0.00005060077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01593615,0.01703789,0.8213576,0.03876338,0.002577994,0.0001228768,0.0002810659,0.001078039,0.102845],"genre_scores_gemma":[0.3608514,0.0135995,0.5642397,0.00584657,0.002218575,0.0003708292,0.0006784704,0.0006223134,0.0515726],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01153874,"threshold_uncertainty_score":0.03860092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649301577004533,"score_gpt":0.248952521465268,"score_spread":0.2324595056952227,"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."}}