{"id":"W2903761643","doi":"10.2196/11861","title":"Creating a Theoretically Grounded Gaming App to Increase Adherence to Pre-Exposure Prophylaxis: Lessons From the Development of the Viral Combat Mobile Phone Game","year":2018,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institute of Mental Health","keywords":"Pre-exposure prophylaxis; Psychological intervention; Medicine; Human immunodeficiency virus (HIV); Men who have sex with men; Family medicine; Mobile phone; Grounded theory; Medication adherence; Phone; Internet privacy; Qualitative research; Psychiatry; Computer science; Internal medicine; Telecommunications","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":[0.001261466,0.001374865,0.0002827734,0.0005515519,0.0006766039,0.001576811,0.001861365,0.0009301162,0.003445744],"category_scores_gemma":[0.003232143,0.0002518895,0.0006858187,0.0001214669,0.001025186,0.001446334,0.002052753,0.001406185,0.000608551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004889377,"about_ca_system_score_gemma":0.0009476566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120266,"about_ca_topic_score_gemma":0.003418827,"domain_scores_codex":[0.999355,0.0003447295,0.0000235871,0.00006595707,0.0001221633,0.00008858962],"domain_scores_gemma":[0.9990467,0.0006276143,0.00003826113,0.0000325877,0.00007651516,0.0001783493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000555011,0.01151252,0.01532921,0.005324421,0.0001741958,0.002839631,0.03923571,0.008320732,0.02490918,0.01261211,0.04280672,0.8363806],"study_design_scores_gemma":[0.001774302,0.02859404,0.05549606,0.008677051,0.000805356,0.009062252,0.0578905,0.08694124,0.0407823,0.04990407,0.6594188,0.0006540003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7135326,0.003131769,0.1835924,0.01014197,0.001069493,0.004981573,0.000436468,0.002617016,0.08049676],"genre_scores_gemma":[0.5548693,0.003894066,0.4184556,0.002172963,0.0001421723,0.002792845,0.0003694088,0.0002545888,0.01704915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003445744,"threshold_uncertainty_score":0.01152718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650417945586895,"score_gpt":0.3356328231691862,"score_spread":0.3191286437133173,"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."}}