{"id":"W3123799984","doi":"","title":"Profiles of Dialogue for Relevance","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Relevance (law); Argumentative; Argumentation theory; Argument (complex analysis); Relevance theory; Epistemology; Order (exchange); Computer science; Psychology; Political science; Philosophy; Law; Economics","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":[0.001177057,0.00007051659,0.0001292386,0.00004264383,0.000369892,0.0001048096,0.0008485203,0.00003821081,0.000001200312],"category_scores_gemma":[0.0001971236,0.00005776668,0.0000853306,0.00002724428,0.00002303354,0.0004972103,0.00005130261,0.0002671163,0.000005464873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300813,"about_ca_system_score_gemma":0.0005768377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004633149,"about_ca_topic_score_gemma":0.0002150043,"domain_scores_codex":[0.9986989,0.00002963894,0.0002173194,0.0001397915,0.0001553758,0.0007589262],"domain_scores_gemma":[0.9989496,0.00004822227,0.0004772175,0.0003816928,0.0001091357,0.00003410471],"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":[0.00001758911,0.00004202066,0.002919026,0.00002428764,0.00005338155,7.023896e-7,0.0001998603,0.00002190589,0.004907158,0.9271474,0.0002579799,0.06440872],"study_design_scores_gemma":[0.0035913,0.00122293,0.02647513,0.0001980336,0.000037122,0.000308933,0.0002038093,0.02730804,0.02178242,0.9058243,0.01248453,0.0005634283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06323771,0.0007927858,0.9338769,0.0009234567,0.0006250803,0.0002254013,0.00000240844,0.00001833416,0.0002978981],"genre_scores_gemma":[0.9951535,0.0005332262,0.003273495,0.00001398973,0.0002481698,0.000009567432,7.724612e-7,0.000006190599,0.0007610564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9319158,"threshold_uncertainty_score":0.2844948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208260098153847,"score_gpt":0.2764786761532327,"score_spread":0.255652666337848,"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."}}