{"id":"W4415885480","doi":"10.2196/75323","title":"Mobile Health App for Adults with Persisting Postconcussion Symptoms: Development and Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Mobile apps; mHealth; Mobile device; Digital health; Smartphone app","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":[0.008171744,0.0006940147,0.0006310669,0.0008888333,0.000562079,0.0008310537,0.0006035719,0.0008174073,0.001164826],"category_scores_gemma":[0.01535957,0.0004063652,0.0008453594,0.0003904635,0.0003710112,0.001084871,0.001045312,0.0004469078,0.0003795079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670288,"about_ca_system_score_gemma":0.001365079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101015,"about_ca_topic_score_gemma":0.002454388,"domain_scores_codex":[0.9972752,0.001262247,0.000399829,0.0002672157,0.0005990535,0.0001965483],"domain_scores_gemma":[0.9922482,0.004487378,0.0003981138,0.0003493899,0.002182884,0.0003340757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.003936136,0.0237107,0.1613897,0.009934247,0.0005377139,0.00476459,0.05634581,0.001445774,0.04294651,0.0005759398,0.009677646,0.6847352],"study_design_scores_gemma":[0.005094429,0.1570147,0.6275971,0.00601711,0.003041493,0.01609271,0.0465004,0.01963975,0.0381857,0.0007252039,0.07944793,0.0006433872],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846103,0.0007067995,0.00584062,0.0001953986,0.00004146706,0.006865167,0.0002465789,0.0002189504,0.001274804],"genre_scores_gemma":[0.9056964,0.002271259,0.07666741,0.0005788424,0.00006217414,0.01189261,0.0006768866,0.0001050702,0.002049381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008171744,"threshold_uncertainty_score":0.04321676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05103756299244096,"score_gpt":0.3897730892342164,"score_spread":0.3387355262417755,"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."}}