{"id":"W2089560866","doi":"10.3166/ria.24.575-599","title":"Une méthode pour naviguer dans l'espace des simulations","year":2010,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008191114,0.0003730524,0.0003462159,0.0001521682,0.0006839809,0.0004357172,0.0009401085,0.0003155055,0.001043258],"category_scores_gemma":[0.0003890536,0.0004041299,0.0002203489,0.001291464,0.000388942,0.0009637554,0.0002156909,0.0006307962,0.003443692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111338,"about_ca_system_score_gemma":0.0001760833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002131342,"about_ca_topic_score_gemma":0.003249552,"domain_scores_codex":[0.9969764,0.0002456032,0.0008292933,0.0008446127,0.0003410021,0.0007630363],"domain_scores_gemma":[0.9971093,0.0005272334,0.0003209556,0.001287291,0.0004346599,0.0003205855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001469476,0.0008324638,0.005311067,0.0003124271,0.00005534021,0.00006861358,0.03263309,0.3548916,0.2032096,0.2879263,0.002439241,0.1123056],"study_design_scores_gemma":[0.00006258337,0.00006540932,0.00136672,0.0002644525,0.00002912495,0.000101216,0.0008760148,0.8875507,0.06871188,0.006988711,0.03355519,0.0004280287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1519659,0.0007349938,0.832802,0.00530465,0.004593641,0.0004420529,0.00002998645,0.0001383412,0.003988442],"genre_scores_gemma":[0.885785,0.00008603266,0.04024905,0.0001169609,0.00067416,0.00001897712,0.00001315483,0.00004001491,0.07301668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7925529,"threshold_uncertainty_score":0.9998699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068685036074305,"score_gpt":0.3231498520291576,"score_spread":0.2162813484217271,"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."}}