{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001488782,0.0002593421,0.0002509944,0.0002036353,0.0001715645,0.0002687242,0.002036704,0.0002530857,0.0006328356],"category_scores_gemma":[0.00003595391,0.0003364047,0.0002361727,0.0004866652,0.00006010588,0.0008070202,0.003211881,0.0006812667,0.0003251191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409135,"about_ca_system_score_gemma":0.0005740064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006491355,"about_ca_topic_score_gemma":0.00009341699,"domain_scores_codex":[0.9981701,0.0001329434,0.0001874976,0.001059541,0.0001499742,0.00029993],"domain_scores_gemma":[0.9978817,0.00008070801,0.0002112108,0.001318103,0.0003431533,0.0001650946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000243346,0.0005568489,0.006823278,0.0002039479,0.0006723705,0.001893729,0.003058295,0.5035186,0.00008134996,0.4705037,0.01116936,0.001494244],"study_design_scores_gemma":[0.0003866443,0.00002563379,0.004608912,0.0001217521,0.00007099805,0.0000213347,0.00055164,0.961906,0.0002279408,0.02457645,0.006915097,0.0005876357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1871539,0.00003245869,0.7905189,0.0007760208,0.002440527,0.0001924719,0.00001921949,0.0003294182,0.01853706],"genre_scores_gemma":[0.9883221,0.00004965001,0.006438721,0.0005156094,0.0001002529,0.000001399942,0.00005895623,0.00001520107,0.00449805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8011683,"threshold_uncertainty_score":0.9999088,"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."}}