{"id":"W3130514088","doi":"10.48550/arxiv.2102.10387","title":"Towards Teachable Conversational Agents","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Teachable moment; Computer science; Psychology; Psychotherapist","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":[0.004643532,0.0007091083,0.0004893722,0.0005939051,0.001571772,0.003916522,0.001852111,0.002730375,0.006121983],"category_scores_gemma":[0.02045336,0.000878949,0.0006388899,0.0003314448,0.003457492,0.005567955,0.005927519,0.004230093,0.002517767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244781,"about_ca_system_score_gemma":0.001801998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233505,"about_ca_topic_score_gemma":0.001932884,"domain_scores_codex":[0.9951836,0.003248251,0.0001398154,0.0005711251,0.0006400712,0.0002170089],"domain_scores_gemma":[0.9920324,0.00477535,0.0005123815,0.00104955,0.0009674871,0.0006627793],"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":[0.0002610475,0.0002919246,0.002543432,0.0005762986,0.00007790611,0.0005205743,0.023005,0.03902822,0.02751512,0.7827268,0.00660849,0.1168453],"study_design_scores_gemma":[0.00008482546,0.0001500023,0.0005023642,0.0001741985,0.000038274,0.0002535699,0.00412304,0.3813237,0.01472925,0.5065601,0.09200273,0.00005792897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02753921,0.0004662542,0.953187,0.001922662,0.00009642719,0.0002140286,0.00005495953,0.001306423,0.015213],"genre_scores_gemma":[0.4240146,0.0005515158,0.5614632,0.000738017,0.0001205692,0.0006989735,0.0001814653,0.0003454197,0.01188627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006121983,"threshold_uncertainty_score":0.02455765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09786393299229709,"score_gpt":0.2120181180805194,"score_spread":0.1141541850882223,"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."}}