{"id":"W4389137433","doi":"10.2196/48940","title":"REDCap as a Platform for Cutaneous Disease Management in Street Medicine: Descriptive Study","year":2023,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive research; Medicine; Descriptive statistics; Sociology; Social science; Mathematics; Statistics","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":[0.003198601,0.0001640406,0.000423229,0.001263836,0.001327544,0.001943167,0.0006192718,0.0006082098,0.007711568],"category_scores_gemma":[0.0100168,0.0003162418,0.0006901661,0.001580704,0.0007099251,0.001691179,0.001603339,0.001200022,0.001081639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709948,"about_ca_system_score_gemma":0.003086649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007078158,"about_ca_topic_score_gemma":0.01222209,"domain_scores_codex":[0.9970948,0.001158708,0.0002871499,0.0002175687,0.0006870291,0.0005548082],"domain_scores_gemma":[0.9922795,0.003359373,0.001879916,0.0003674811,0.001256369,0.0008573424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001125618,0.004330939,0.9188056,0.001312531,0.0001526389,0.0009920752,0.02110872,0.00006615446,0.0005734609,0.0009669533,0.003726201,0.04683905],"study_design_scores_gemma":[0.0001437621,0.003957477,0.8467405,0.001865887,0.0003805754,0.003226221,0.1286616,0.0004388491,0.0004738194,0.0004995275,0.01354328,0.00006852321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994273,0.0007049287,0.0001908701,0.0001863382,0.00001477432,0.0004997332,0.0005985249,0.00000507935,0.003526661],"genre_scores_gemma":[0.9959901,0.0007105909,0.0005332363,0.0004956978,0.00002727945,0.000444297,0.0003496972,0.00001203503,0.001437094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007711568,"threshold_uncertainty_score":0.02579772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08168642669292638,"score_gpt":0.453256318359147,"score_spread":0.3715698916662207,"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."}}