{"id":"W4415175326","doi":"10.2196/73706","title":"Leveraging Social Media and Crowdsourcing to Recruit and Retain Military Veterans With Posttraumatic Stress Disorder or Experience of Harmful Gambling for mHealth Interventions: Descriptive Study","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of the United Kingdom","keywords":"mHealth; Attrition; Crowdsourcing; Social media; Intervention (counseling); Posttraumatic stress; Descriptive research; Qualitative research; Telemedicine","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":[0.002834311,0.0004115241,0.0003780001,0.00169085,0.001843462,0.001173187,0.0006099761,0.000661023,0.003587853],"category_scores_gemma":[0.006311816,0.0004732483,0.0005937537,0.0009127894,0.0008602315,0.0008124943,0.001181509,0.0006046324,0.0008451645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040641,"about_ca_system_score_gemma":0.00315631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006000199,"about_ca_topic_score_gemma":0.01527646,"domain_scores_codex":[0.9985147,0.0005926964,0.0001607563,0.000190458,0.0002436411,0.0002976091],"domain_scores_gemma":[0.9968491,0.001443255,0.0006364892,0.0002013978,0.0005015362,0.0003682821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002596748,0.03898511,0.6420569,0.002622555,0.0002297578,0.001910952,0.0919949,0.0001861272,0.005146971,0.000716455,0.003745329,0.2098081],"study_design_scores_gemma":[0.001087136,0.03508604,0.731173,0.001059142,0.0003825445,0.002291818,0.2061814,0.001365468,0.003760067,0.0005880125,0.01686184,0.0001636197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993944,0.0001718185,0.0003402704,0.0000780209,0.00001051256,0.004138471,0.000311317,0.000008560975,0.0009971291],"genre_scores_gemma":[0.9853541,0.0007768443,0.003082037,0.0005406477,0.00006011055,0.007955742,0.0004816907,0.00001484244,0.001734006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006000199,"threshold_uncertainty_score":0.01498944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2365288481912479,"score_gpt":0.4933401813215448,"score_spread":0.2568113331302968,"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."}}