{"id":"W7124176142","doi":"10.65109/rtds4918","title":"A Pragmatic Approach to Build Conversation Protocols Using Social Commitments","year":2004,"lang":"","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Université Laval","funders":"","keywords":"Conversation; Conversation analysis; Agency (philosophy); Context (archaeology); Key (lock)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008256936,0.0003706605,0.0004909373,0.0002301105,0.0005113285,0.0008431867,0.0009951039,0.0002165345,0.00002802162],"category_scores_gemma":[0.00007551097,0.0003618308,0.0001595009,0.001072658,0.00008501152,0.0008101643,0.0003944545,0.0001948941,0.0004555191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007095451,"about_ca_system_score_gemma":0.0007274413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009113667,"about_ca_topic_score_gemma":0.00001906363,"domain_scores_codex":[0.9965772,0.0002647979,0.0007564639,0.0007807915,0.0008771089,0.0007436241],"domain_scores_gemma":[0.9984421,0.00002819133,0.0003239657,0.0006360844,0.0002155989,0.0003540551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000674983,0.01220194,0.004543175,0.004239867,0.0009319032,0.00007027802,0.2282645,0.03352696,0.0181684,0.6336268,0.008886654,0.05486447],"study_design_scores_gemma":[0.04359729,0.004254315,0.00857488,0.002914291,0.0003206598,0.0004690223,0.009062521,0.836524,0.0294903,0.04456292,0.01345404,0.006775795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007210194,0.00000900416,0.9273476,0.001026079,0.0006090542,0.0459518,0.000008594877,0.0001574763,0.01768017],"genre_scores_gemma":[0.788005,1.806511e-7,0.2035595,0.001049263,0.0005455667,0.006601776,0.00000947575,0.00002777655,0.0002015289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.802997,"threshold_uncertainty_score":0.9998834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06742156670692966,"score_gpt":0.3236817608114514,"score_spread":0.2562601941045217,"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."}}