{"id":"W1758476776","doi":"10.1007/10722777_13","title":"A Schema-Based Approach to Specifying Conversation Policies","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Conversation; Computer science; Schema (genetic algorithms); Petri net; Human–computer interaction; Set (abstract data type); Programming language; Artificial intelligence; Information retrieval; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009696802,0.001629228,0.001576547,0.003200972,0.002482613,0.01237361,0.004988675,0.003622425,0.012146],"category_scores_gemma":[0.01712803,0.003416024,0.003787085,0.003969794,0.003232374,0.01510855,0.004664299,0.007657188,0.005325217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002823883,"about_ca_system_score_gemma":0.005202162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076247,"about_ca_topic_score_gemma":0.01103953,"domain_scores_codex":[0.9915988,0.003515408,0.001716933,0.00100658,0.001754661,0.0004074728],"domain_scores_gemma":[0.990508,0.004365504,0.0005504768,0.002266518,0.001875067,0.0004344378],"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":[0.0001112122,0.000111147,0.0005796023,0.000494424,0.0001525541,0.0003927491,0.003029285,0.01130508,0.005103727,0.8898219,0.01398634,0.0749119],"study_design_scores_gemma":[0.0001215484,0.0001014809,0.0002232883,0.0007774801,0.0003651579,0.0009316234,0.001423562,0.1782837,0.0217729,0.4760571,0.3197285,0.000213626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007663288,0.000179143,0.9913975,0.0003887868,0.00007319648,0.0002872481,0.000526021,0.002492696,0.00388906],"genre_scores_gemma":[0.02694907,0.0006287724,0.9647571,0.0004286976,0.00006768908,0.0007327059,0.001730911,0.0007859266,0.003919128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01237361,"threshold_uncertainty_score":0.05128217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570035443847074,"score_gpt":0.2518510865981032,"score_spread":0.2161507321596324,"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."}}