{"id":"W3045997149","doi":"10.2196/21767","title":"Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"App store; Android (operating system); Internet privacy; mHealth; Context (archaeology); Sound perception; Computer science; Cronbach's alpha; World Wide Web; Medicine; Perception; Psychology; Psychological intervention; Nursing; Psychometrics","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":[0.03181041,0.00132535,0.003068091,0.03690571,0.00139533,0.00221263,0.001912199,0.001560334,0.00295401],"category_scores_gemma":[0.1076402,0.0009528293,0.004441149,0.015138,0.002151518,0.004110003,0.005320488,0.001574147,0.0007659953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970251,"about_ca_system_score_gemma":0.02248523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006107329,"about_ca_topic_score_gemma":0.02209593,"domain_scores_codex":[0.9592916,0.01256466,0.01840906,0.001686933,0.007434267,0.0006133833],"domain_scores_gemma":[0.8442737,0.1004518,0.02855202,0.003886294,0.02162279,0.00121333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002362332,0.000085801,0.01731631,0.7227527,0.001504611,0.0005514249,0.002704056,0.0002454834,0.000948519,0.001784136,0.01253893,0.2393319],"study_design_scores_gemma":[0.0001696954,0.0003166115,0.03717049,0.8600999,0.005824002,0.001587377,0.002885681,0.0003434593,0.0008120789,0.002118134,0.0885115,0.0001611288],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01595089,0.9331229,0.009275699,0.005139645,0.0007026757,0.01832953,0.01334066,0.0002591321,0.00387891],"genre_scores_gemma":[0.09553212,0.7863551,0.06416662,0.004968725,0.0004224064,0.03614105,0.01105735,0.0001155761,0.001240963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03690571,"threshold_uncertainty_score":0.1682316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09573479077494511,"score_gpt":0.4144070448213553,"score_spread":0.3186722540464101,"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."}}