{"id":"W4206158942","doi":"10.2196/33063","title":"Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Taiwan University; Ministry of Science and Technology, Taiwan","keywords":"Anxiety; Beck Anxiety Inventory; Beck Depression Inventory; Panic disorder; Panic; Machine learning; Artificial intelligence; Psychology; Clinical psychology; Psychiatry; Computer science","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":[0.003250177,0.0006915633,0.000509032,0.0008521099,0.000709256,0.0009697709,0.0007273278,0.0006537922,0.001663295],"category_scores_gemma":[0.00633026,0.0005226827,0.001268264,0.0006507396,0.0003854171,0.0008463907,0.001064618,0.001496479,0.001003561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004582544,"about_ca_system_score_gemma":0.0006227695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005874243,"about_ca_topic_score_gemma":0.004102902,"domain_scores_codex":[0.9990207,0.0003166196,0.00007291849,0.00028307,0.0001843857,0.0001224122],"domain_scores_gemma":[0.9968478,0.0008191587,0.0003787616,0.0008067843,0.0007615437,0.0003860633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001231857,0.001569167,0.9777898,0.00003635128,0.0003152318,0.0001993513,0.0003499517,0.0004045764,0.0004207284,0.0001156657,0.00152008,0.01604736],"study_design_scores_gemma":[0.0003224406,0.003258531,0.9816064,0.00005527304,0.0004949706,0.0006745728,0.0006457397,0.01006433,0.0005422133,0.000282785,0.001986795,0.0000659855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965078,0.0001189,0.00172759,0.00005670289,0.00002742501,0.000236596,0.0009697233,0.00002602264,0.000329142],"genre_scores_gemma":[0.9924495,0.0002328386,0.00292713,0.00006233755,0.00004242433,0.0005327792,0.00301908,0.00002382287,0.0007099182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005874243,"threshold_uncertainty_score":0.01718879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771361525312357,"score_gpt":0.3584942906922109,"score_spread":0.3007806754390874,"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."}}