{"id":"W7017223996","doi":"","title":"Argumentation in multi-agent systems: 7th international workshop, ArgMAS 2010, Toronto, Canada, May 10, 2010, revised selected and invited papers","year":2011,"lang":"en","type":"other","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Argumentation theory; Feature (linguistics); Argument (complex analysis)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[],"category_scores_codex":[0.0003212124,0.000440645,0.0004843078,0.0002972632,0.00005912015,0.0002179977,0.0006737086,0.0003290714,0.003038875],"category_scores_gemma":[0.00005689987,0.000399807,0.0000485785,0.0002652846,0.00002411345,0.0003596341,0.000148914,0.000177966,0.00006026131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008225015,"about_ca_system_score_gemma":0.0002300443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.721763,"about_ca_topic_score_gemma":0.853301,"domain_scores_codex":[0.9973103,0.0002325902,0.0006932166,0.0007945226,0.000587602,0.0003817514],"domain_scores_gemma":[0.9984668,0.00006359378,0.0006052606,0.0005517309,0.000128992,0.0001835476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001172823,0.00009435016,0.002226004,0.0001864394,0.0001558575,0.0000195628,0.0004875338,0.00003073736,0.0002772565,0.000418752,0.9946651,0.001426619],"study_design_scores_gemma":[0.004100503,0.00006305764,0.05324133,0.002146291,0.0000610149,0.00003295755,0.0005796078,0.08066562,0.0001350121,0.000002617129,0.8572513,0.00172066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001328802,0.02243195,0.3364625,0.003979607,0.06059299,0.01457589,0.0004962494,0.002724019,0.557408],"genre_scores_gemma":[0.01267355,0.0006343955,0.006647111,0.0004593164,0.0002588817,0.0001768382,0.0003352887,0.0001945209,0.9786201],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4212121,"threshold_uncertainty_score":0.9998454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967145300824208,"score_gpt":0.2486857393519087,"score_spread":0.2190142863436666,"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."}}