{"id":"W950586868","doi":"10.1007/978-3-319-18356-5_5","title":"Policies, Conversations, and Conversation Composition","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Conversation; Composition (language); Computer science; Linguistics; Sociology; Psychology; Communication; Philosophy","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":[0.004959562,0.0006003933,0.0004478878,0.001443709,0.002677994,0.008659719,0.001084323,0.001792681,0.009635554],"category_scores_gemma":[0.02599539,0.0007441793,0.0005169104,0.001548619,0.004710335,0.01232291,0.003307802,0.002280916,0.001496229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895902,"about_ca_system_score_gemma":0.00198918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00329116,"about_ca_topic_score_gemma":0.001809978,"domain_scores_codex":[0.995789,0.002556807,0.0002098569,0.0005766711,0.0004889781,0.0003787423],"domain_scores_gemma":[0.9883886,0.008686014,0.0009516463,0.0008459804,0.000518907,0.0006088178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001869962,0.0000607696,0.002154913,0.0001099913,0.00002451077,0.00008752375,0.00767102,0.002783652,0.0009371798,0.9420407,0.002716437,0.04122635],"study_design_scores_gemma":[0.00002566384,0.0000196527,0.00127665,0.0001054588,0.00002790139,0.00008581096,0.003252474,0.0104307,0.0007851623,0.9670169,0.01694795,0.00002578216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1942,0.01147699,0.3166298,0.0136831,0.0005039918,0.0002426973,0.0007220621,0.0007792836,0.4617621],"genre_scores_gemma":[0.955704,0.002143836,0.02622149,0.0002795258,0.0002133394,0.0002168386,0.0003760447,0.0001847199,0.0146602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009635554,"threshold_uncertainty_score":0.03223419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04594146452351649,"score_gpt":0.3182361265590203,"score_spread":0.2722946620355038,"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."}}