{"id":"W3104956893","doi":"10.1007/s10916-020-01671-x","title":"Proof-of-Concept Study: a Mobile Application to Derive Clinical Outcome Measures from Expression and Speech for Mental Health Status Evaluation","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; Trent University; Nottingham Trent University","keywords":"Sadness; Disgust; Facial expression; Happiness; Anger; Emotional expression; Psychology; Autism spectrum disorder; Social media; Expressed emotion; Mental health; Clinical psychology; Cognitive psychology; Computer science; Psychiatry; Social psychology; Autism; Communication","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002025413,0.0001071138,0.0006871339,0.00004266982,0.00004078437,0.00001319651,0.0001034758,0.00008679874,0.00002439346],"category_scores_gemma":[0.0007392651,0.00006861827,0.00009843759,0.00008072878,0.00003162528,0.00004711794,0.00002696357,0.0001444719,0.000001266082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008113568,"about_ca_system_score_gemma":0.0002804644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001428616,"about_ca_topic_score_gemma":0.000006771012,"domain_scores_codex":[0.9965604,0.0002739365,0.001272082,0.0001877638,0.00156372,0.0001420816],"domain_scores_gemma":[0.998101,0.0001755173,0.000688386,0.0001221349,0.0002039075,0.0007090786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003142685,0.005815635,0.3424281,0.00078163,0.001157983,0.00001743352,0.02608212,0.00005688996,0.0007911094,0.00001486529,0.01618476,0.6035268],"study_design_scores_gemma":[0.2302488,0.1310593,0.2479781,0.02387005,0.002835949,0.0003197081,0.1634282,0.09517078,0.003780647,0.0008965752,0.09909602,0.00131584],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596894,0.003595002,0.0249325,0.006051761,0.0007084372,0.004959102,0.00003937025,0.000007927501,0.00001654868],"genre_scores_gemma":[0.9980834,0.0000521108,0.0009124748,0.0004105782,0.0003742879,0.0001300787,0.00001917814,0.00001220156,0.000005665731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.602211,"threshold_uncertainty_score":0.2798172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125496434277853,"score_gpt":0.4530760599109562,"score_spread":0.3405264164831709,"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."}}