{"id":"W3043789087","doi":"10.2196/19807","title":"Quality of Psychoeducational Apps for Military Members With Mild Traumatic Brain Injury: An Evaluation Utilizing the Mobile Application Rating Scale","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network; Government of Canada; Canadian Armed Forces; University of Alberta; Department of National Defence","funders":"","keywords":"Psychoeducation; mHealth; Rating scale; Best practice; Mental health; Medicine; Psychology; Medical emergency; Psychiatry; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01237412,0.0005881871,0.002338296,0.002801846,0.0005035453,0.001209601,0.0007970424,0.0008284316,0.001727207],"category_scores_gemma":[0.04869322,0.0003491819,0.004865027,0.002056947,0.0003825043,0.001455612,0.00122053,0.0008304426,0.0002355177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145094,"about_ca_system_score_gemma":0.002490429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723523,"about_ca_topic_score_gemma":0.007026562,"domain_scores_codex":[0.990407,0.004133515,0.002550337,0.0004516145,0.002251559,0.0002059666],"domain_scores_gemma":[0.9715336,0.01749475,0.006499257,0.0004376458,0.003339952,0.0006948267],"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":[0.01549517,0.003024039,0.1002647,0.1080945,0.008675014,0.000282512,0.00275334,0.0006510903,0.001004642,0.0002834735,0.0046719,0.7547997],"study_design_scores_gemma":[0.02227528,0.05085889,0.7701878,0.07915105,0.03647379,0.001456831,0.005568826,0.005917896,0.002029439,0.0005875346,0.0249153,0.0005773381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8555012,0.1134648,0.001925951,0.002291321,0.0002968443,0.01456926,0.005584314,0.0002055521,0.006160777],"genre_scores_gemma":[0.9048629,0.06099244,0.01818109,0.0008079415,0.000127887,0.01197599,0.002092251,0.00003493777,0.0009245623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237412,"threshold_uncertainty_score":0.06544137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3119327245185243,"score_gpt":0.5316370274119301,"score_spread":0.2197043028934058,"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."}}