{"id":"W2547096835","doi":"10.3233/aac-160009","title":"Towards a richer model of deliberation dialogue: Closure problem and change of circumstances","year":2016,"lang":"en","type":"article","venue":"Argument & Computation","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada; Engineering and Physical Sciences Research Council; University of Aberdeen; Research Councils UK","keywords":"Deliberation; Computer science; Closure (psychology); Natural (archaeology); Set (abstract data type); Extension (predicate logic); Epistemology; Management science; Artificial intelligence; Political science; Engineering; Geography; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01389674,0.0007510519,0.001898901,0.001812743,0.002861958,0.009980164,0.003095562,0.005903878,0.004729934],"category_scores_gemma":[0.04000671,0.0009731023,0.003328464,0.001588317,0.01137748,0.02589868,0.008906432,0.007653037,0.00063053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002830186,"about_ca_system_score_gemma":0.002183705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002641967,"about_ca_topic_score_gemma":0.001725078,"domain_scores_codex":[0.9868302,0.008965939,0.000792812,0.00145748,0.001288833,0.0006647462],"domain_scores_gemma":[0.9708804,0.01831861,0.00261136,0.005216953,0.00131044,0.001662266],"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":[0.0001012268,0.0000558434,0.0008803676,0.0001049601,0.00002825637,0.0002556598,0.004548303,0.03048241,0.0006446644,0.952532,0.0007847622,0.009581542],"study_design_scores_gemma":[0.00004122748,0.00005419659,0.0002237718,0.00007682896,0.00002401952,0.0001741794,0.001026244,0.1704967,0.0004297628,0.8196861,0.007722446,0.00004439422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02511116,0.0004714398,0.9523965,0.006055927,0.0001244704,0.0001477167,0.0001100816,0.0002435873,0.01533907],"genre_scores_gemma":[0.6132549,0.0004783192,0.3809333,0.0007206469,0.0002153615,0.0004164813,0.0002212422,0.0001535167,0.00360616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01389674,"threshold_uncertainty_score":0.0734939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854872818810164,"score_gpt":0.2641609590991205,"score_spread":0.2156122309110188,"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."}}