{"id":"W4312015597","doi":"10.2196/40058","title":"Analysis of Patient Cues in Asynchronous Health Interactions: Pilot Study Combining Empathy Appraisal and Systemic Functional Linguistics","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Empathy and Medical Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Granada; Deakin University; Monash University; University of Bristol; University College Dublin; National Health and Medical Research Council; European Commission; Innovationsfonden; Medical Research Council; Aarhus Universitet","keywords":"Systemic functional linguistics; Empathy; Asynchronous communication; Psychology; Appraisal theory; Applied linguistics; Linguistics; Critical appraisal; Natural language processing; Cognitive psychology; Computer science; Social psychology; Medicine; Alternative medicine; Philosophy; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00631262,0.0005676611,0.0006415032,0.002015267,0.001679337,0.001518343,0.0006714496,0.0008012067,0.004002235],"category_scores_gemma":[0.03015956,0.0004285006,0.0004277222,0.001101328,0.001332613,0.001417965,0.002335206,0.0009263756,0.0004808183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017264,"about_ca_system_score_gemma":0.001193844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008894141,"about_ca_topic_score_gemma":0.001667138,"domain_scores_codex":[0.9948499,0.003517073,0.0003284468,0.0005050524,0.0004603197,0.0003393723],"domain_scores_gemma":[0.9693345,0.02283112,0.002999795,0.0010906,0.002707547,0.001036476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003071293,0.006887447,0.137589,0.002197045,0.0001092621,0.002492877,0.7195526,0.0004151991,0.01375758,0.0004878766,0.001404687,0.1120351],"study_design_scores_gemma":[0.001136628,0.01394642,0.5000359,0.00045031,0.000310303,0.00169992,0.4563347,0.004623221,0.009151726,0.001328907,0.01069069,0.0002913462],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971934,0.00003909999,0.001111091,0.00004894602,0.000006026871,0.0007871475,0.0001063431,0.00001335333,0.0006945695],"genre_scores_gemma":[0.9925464,0.0001018057,0.004429002,0.00009095199,0.00002222676,0.001992402,0.0001377756,0.00001290626,0.0006665591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00631262,"threshold_uncertainty_score":0.03338474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08830064484814046,"score_gpt":0.462510691979463,"score_spread":0.3742100471313226,"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."}}