{"id":"W4401226803","doi":"10.1007/978-981-97-3289-0_43","title":"Enhancing Telehealth Patient Experience with Emotion-Sensitive Large Language Models","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Algoma University; Thompson Rivers University; University of Guelph; University of Saskatchewan","funders":"","keywords":"Telehealth; Psychology; Human–computer interaction; Computer science; Telemedicine; Health care; Political science","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":[0.0001973225,0.0003956839,0.0005462322,0.0001745993,0.0000940385,0.0001059977,0.00009101845,0.0004500558,0.00005124183],"category_scores_gemma":[0.000006366876,0.0003151026,0.00008902128,0.00008512441,0.00007384404,0.00007795253,0.00007126341,0.0007545652,0.00003777421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970318,"about_ca_system_score_gemma":0.00002783901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004878155,"about_ca_topic_score_gemma":0.00176117,"domain_scores_codex":[0.9978573,0.00006176908,0.0006640741,0.0006680955,0.0002268419,0.0005219255],"domain_scores_gemma":[0.998996,0.0002121643,0.0002461885,0.0003487742,0.00005091824,0.0001459526],"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":[0.0005875632,0.0004019959,0.0002032328,0.003653931,0.0006754422,0.00319716,0.09698998,0.04832052,0.000005085291,0.7390782,0.0007740483,0.1061128],"study_design_scores_gemma":[0.009910184,0.02072785,0.0006533467,0.2466718,0.001030825,0.008876152,0.03203709,0.4401051,0.0002071416,0.1345266,0.09157939,0.01367465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02684301,0.1061509,0.334059,0.0003744232,0.01413631,0.004943863,0.0006397413,0.0004360132,0.5124167],"genre_scores_gemma":[0.9790146,0.00004778583,0.00003802995,0.0002749281,0.0004411029,0.0001184204,0.00008747975,0.00009465172,0.01988304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9521716,"threshold_uncertainty_score":0.9999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168571968626153,"score_gpt":0.3001649113788709,"score_spread":0.2833077145162556,"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."}}