{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544056,0.0001210493,0.0003165136,0.0001354123,0.0003952804,0.00003280455,0.00005952902,0.00005021889,0.00007118506],"category_scores_gemma":[0.0004997,0.00009096545,0.0000655958,0.0004303302,0.0001832334,0.00008960148,0.0002372578,0.0003038071,0.00003857024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076745,"about_ca_system_score_gemma":0.0003471153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002189751,"about_ca_topic_score_gemma":0.0002248185,"domain_scores_codex":[0.9983471,0.0001388868,0.0002897643,0.0002815381,0.0005057646,0.0004369296],"domain_scores_gemma":[0.9983264,0.0004170472,0.00002717927,0.0002359349,0.0008399476,0.0001535036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001369815,0.007546621,0.1873398,0.004398333,0.0011601,0.0001024018,0.4386097,1.437966e-7,0.003018616,0.00156713,0.2977709,0.05711646],"study_design_scores_gemma":[0.003885242,0.001636276,0.6658046,0.0001270737,0.00002451982,0.00002932623,0.1045005,0.00007461636,0.004852867,0.0003832379,0.2184965,0.0001852232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990934,0.0005368443,0.00007328194,0.002464129,0.00001057052,0.001705353,0.00001113465,0.00002823464,0.00423645],"genre_scores_gemma":[0.9911433,0.00003900426,0.001349038,0.00008810525,0.00007086303,0.0007868993,0.00002438324,0.00001144246,0.006486992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4784648,"threshold_uncertainty_score":0.3709463,"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."}}