{"id":"W3170032457","doi":"10.2196/23229","title":"A Biofeedback App for Migraine: Development and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Biofeedback; mHealth; Usability; Migraine; Wearable computer; Medicine; Physical therapy; System usability scale; Session (web analytics); Psychology; Psychological intervention; Physical medicine and rehabilitation; Computer science; Human–computer interaction; Heuristic evaluation; Anesthesia; Nursing; World Wide Web","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":[0.006284873,0.0007432593,0.0007008093,0.0008121371,0.0005009737,0.000641479,0.0005165474,0.0006930227,0.001220399],"category_scores_gemma":[0.009106892,0.0003699712,0.001057442,0.0003523057,0.0003045027,0.0008335452,0.0007775001,0.0004797234,0.0003921545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003093902,"about_ca_system_score_gemma":0.0007139732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009436813,"about_ca_topic_score_gemma":0.001994465,"domain_scores_codex":[0.9974893,0.001015382,0.0004055037,0.0002843344,0.0006101432,0.0001953],"domain_scores_gemma":[0.9946097,0.002928653,0.0003508077,0.000328857,0.001483062,0.0002988532],"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":[0.008449565,0.05753305,0.1538446,0.007278404,0.0009040682,0.00316633,0.02923287,0.001445571,0.102409,0.0004114948,0.006474494,0.6288506],"study_design_scores_gemma":[0.004035746,0.1917763,0.7103771,0.001400111,0.002272821,0.008041117,0.008498759,0.009772045,0.03736379,0.0002783146,0.02581895,0.0003650096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9933076,0.0004615682,0.002155159,0.00008237133,0.00002344584,0.00296418,0.0001837498,0.00009040735,0.0007315885],"genre_scores_gemma":[0.947229,0.001843586,0.04121394,0.000357536,0.00007436302,0.005737083,0.0009771247,0.00008995661,0.002477342],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006284873,"threshold_uncertainty_score":0.03323799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223693360795225,"score_gpt":0.4617008331903591,"score_spread":0.3393314971108366,"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."}}