{"id":"W4416969637","doi":"10.2196/59951","title":"Self-Reported Triggers Evaluation of High-Risk Dietary and Environmental Factors Preceding Migraine Onset by Using a Mobile Tracking App (Migraine Insight): Comparative Analysis Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Migraine; Mobile apps; Tracking (education); Migraine Disorders; mHealth","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":[0.001763133,0.0003256953,0.0005983091,0.002015921,0.0003646009,0.000582514,0.0002886714,0.0004377776,0.002206617],"category_scores_gemma":[0.006742741,0.0001757804,0.00163895,0.001200147,0.0002772197,0.000595887,0.0006216419,0.0003215984,0.0003381127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360206,"about_ca_system_score_gemma":0.0003647839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375514,"about_ca_topic_score_gemma":0.003642754,"domain_scores_codex":[0.9986034,0.0004593474,0.0002285743,0.0003293391,0.0002531534,0.0001262101],"domain_scores_gemma":[0.9946021,0.002446686,0.001391943,0.0003388091,0.0008558814,0.0003644165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002090115,0.0004321376,0.9809067,0.0003347385,0.0008169646,0.0001538157,0.001090538,0.00007089665,0.0005383627,0.00005529984,0.0002915972,0.01321881],"study_design_scores_gemma":[0.00003361414,0.001157652,0.9964209,0.00003356456,0.0003328708,0.0002638385,0.0009247201,0.0002796429,0.0001165862,0.00002311062,0.0004017393,0.00001177274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979019,0.0003543621,0.0003425411,0.00001599249,0.000007925171,0.0001139105,0.0008984615,0.000006486739,0.0003584228],"genre_scores_gemma":[0.9969009,0.0003195155,0.00072696,0.00002317529,0.00002322757,0.0001965375,0.001544693,0.000005516169,0.0002595679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002375514,"threshold_uncertainty_score":0.009324491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189681731709317,"score_gpt":0.4523284609298689,"score_spread":0.3333602877589373,"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."}}