{"id":"W3016640244","doi":"10.2196/15561","title":"Developing Mental or Behavioral Health Mobile Apps for Pilot Studies by Leveraging Survey Platforms: A Do-it-Yourself Process","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Cancer Society","keywords":"mHealth; Mobile phone; Psychological intervention; Mental health; Android (operating system); Phone; Internet privacy; App store; Computer science; Process (computing); Intervention (counseling); World Wide Web; Mobile technology; Mobile device; Psychology; Medicine; Telecommunications; 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":[0.2199429,0.002156869,0.001157917,0.003389716,0.004656396,0.005711085,0.003740447,0.004091181,0.009749027],"category_scores_gemma":[0.2609437,0.002398211,0.002284108,0.001245124,0.004498594,0.009495628,0.01278462,0.005035182,0.005358216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147882,"about_ca_system_score_gemma":0.01282661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007346034,"about_ca_topic_score_gemma":0.002066062,"domain_scores_codex":[0.8694133,0.1102237,0.005577579,0.002758986,0.01031909,0.001707336],"domain_scores_gemma":[0.6979715,0.2144482,0.01055495,0.04892652,0.02068093,0.007417901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009784731,0.006890958,0.008400927,0.00475586,0.000227442,0.001736799,0.06922191,0.001484024,0.02248319,0.01758583,0.03267906,0.8335556],"study_design_scores_gemma":[0.005088346,0.0303468,0.02816237,0.01323099,0.0006617478,0.004117399,0.1087474,0.01715322,0.05593505,0.1102703,0.6249889,0.001297455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05391425,0.0005098011,0.7323546,0.01468857,0.0009956141,0.1756507,0.0006163513,0.003598114,0.01767196],"genre_scores_gemma":[0.05331181,0.0005040648,0.8714035,0.002943616,0.0002787595,0.06857528,0.0001933042,0.0004213253,0.002368333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2199429,"threshold_uncertainty_score":0.9619492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3892013469691219,"score_gpt":0.5504172664991043,"score_spread":0.1612159195299824,"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."}}