{"id":"W2299235815","doi":"","title":"Commentary on Goddu","year":2003,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006840097,0.0001833208,0.0002436668,0.0002359141,0.0004713557,0.00004602761,0.000923599,0.0001420447,0.0002873187],"category_scores_gemma":[0.000046556,0.0002171537,0.000162843,0.0004161182,0.00006891253,0.0009720623,0.0002002463,0.0002599595,0.000420424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583221,"about_ca_system_score_gemma":0.00004114377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008184259,"about_ca_topic_score_gemma":0.00007965155,"domain_scores_codex":[0.9982142,0.0003395591,0.0001752772,0.0004653581,0.0004868081,0.0003188306],"domain_scores_gemma":[0.9986757,0.0001048716,0.0002082606,0.0007406934,0.00008781634,0.0001826282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005160592,0.002545305,0.6180044,0.0003787009,0.0006757208,0.0004708487,0.01871672,0.0008709627,0.06445346,0.1711635,0.1076067,0.01459759],"study_design_scores_gemma":[0.008230156,0.0009144957,0.6515472,0.0003630009,0.0000995535,0.00006449528,0.001486706,0.002340211,0.04137046,0.003308349,0.2886176,0.001657792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732052,0.00007982383,0.01290409,0.003472013,0.0005683686,0.0002974841,0.0000142857,0.0001333129,0.009325437],"genre_scores_gemma":[0.9921814,0.00001253094,0.004817521,0.001127256,0.00003608357,3.257797e-7,0.000009838736,0.000011057,0.001803988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1810109,"threshold_uncertainty_score":0.885527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267599968850652,"score_gpt":0.2179640194027684,"score_spread":0.1952880197142618,"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."}}