{"id":"W2971008990","doi":"10.2196/12424","title":"Considerations for Improved Mobile Health Evaluation: Retrospective Qualitative Investigation","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"mHealth; Psychological intervention; Context (archaeology); Mobile phone; Applied psychology; Medicine; Computer science; Psychology; Nursing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1012952,0.001052707,0.001484358,0.006164389,0.01046958,0.006784114,0.003037662,0.002653068,0.007132057],"category_scores_gemma":[0.1328155,0.001439786,0.0009458394,0.005114311,0.01015059,0.005934444,0.007793147,0.003284438,0.001465392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01150896,"about_ca_system_score_gemma":0.01664581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00793421,"about_ca_topic_score_gemma":0.01385449,"domain_scores_codex":[0.9193246,0.06474138,0.00391715,0.003177937,0.005254699,0.003584255],"domain_scores_gemma":[0.8361784,0.125303,0.008288502,0.006095097,0.02179142,0.002343561],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001095409,0.0001957529,0.00502669,0.001843845,0.00001278944,0.001241572,0.9537,0.0001516796,0.001067128,0.005652261,0.003396384,0.02760236],"study_design_scores_gemma":[0.00003354345,0.0001322686,0.002171314,0.002741047,0.00001664848,0.0004263557,0.9516563,0.0003478948,0.0009515206,0.002481946,0.03899875,0.00004235783],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7578413,0.007023841,0.1095247,0.02089624,0.0009966923,0.05459755,0.006365507,0.0003540845,0.04240005],"genre_scores_gemma":[0.8221465,0.005251805,0.06396443,0.01043771,0.0002151672,0.0834321,0.001602834,0.0002668514,0.01268253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8987048,"threshold_uncertainty_score":0.5357066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.170343287681656,"score_gpt":0.5401220769823838,"score_spread":0.3697787893007278,"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."}}