{"id":"W2118427285","doi":"10.2196/resprot.2398","title":"A Personalized Automated Messaging System to Improve Adherence to Prostate Cancer Screening: Research Protocol","year":2012,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; Michael and Susan Dell Foundation","keywords":"Cancer screening; Prostate cancer screening; Medicine; Confusion; Modalities; Protocol (science); Prostate cancer; Cancer; Medical physics; Family medicine; Alternative medicine; Psychology; Prostate-specific antigen; Internal medicine; Pathology","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":[0.03358611,0.002560393,0.003368298,0.002199362,0.004980662,0.002051094,0.002947574,0.004568355,0.04293038],"category_scores_gemma":[0.02776448,0.002251428,0.003313092,0.002231697,0.0024891,0.002400923,0.002702965,0.004567217,0.007330613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004654123,"about_ca_system_score_gemma":0.0297203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004540942,"about_ca_topic_score_gemma":0.005314998,"domain_scores_codex":[0.9815596,0.01047013,0.003122019,0.001154246,0.001937065,0.001756846],"domain_scores_gemma":[0.9816639,0.007785153,0.002320619,0.002025938,0.004005479,0.002198945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.4170231,0.195706,0.01066624,0.03625534,0.001554122,0.0007370841,0.003250425,0.00662464,0.00424686,0.004332868,0.03418116,0.2854221],"study_design_scores_gemma":[0.6290662,0.2735234,0.02999781,0.005128953,0.001813325,0.0001647107,0.001419306,0.003710614,0.004247298,0.002355395,0.04824558,0.0003273937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.007069653,0.00007985685,0.001109602,0.0001339625,0.00005628799,0.9896014,0.00113321,0.00007034866,0.0007455625],"genre_scores_gemma":[0.003258314,0.00009263179,0.002372345,0.00007530438,0.00001917298,0.9936294,0.0002055369,0.000003744525,0.0003436113],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04293038,"threshold_uncertainty_score":0.1776225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4557130245792638,"score_gpt":0.6964012970220329,"score_spread":0.2406882724427691,"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."}}