{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002007941,0.0001646116,0.0005559633,0.0002926632,0.0003866909,0.000004290941,0.0002063699,0.0001518403,0.0001521932],"category_scores_gemma":[0.0001097191,0.0001404139,0.00004531687,0.0004181902,0.00008036458,0.00006516273,0.0001534913,0.0002560894,0.0003667423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326004,"about_ca_system_score_gemma":0.00009568104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005684883,"about_ca_topic_score_gemma":0.008047131,"domain_scores_codex":[0.9981201,0.0002293079,0.0005140096,0.0003181364,0.0001843904,0.0006340725],"domain_scores_gemma":[0.9989337,0.000455265,0.0001174609,0.0002597907,0.00006856311,0.0001652487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009633593,0.0006468124,0.6188632,0.00158115,0.0002108285,0.008049021,0.2724741,0.000009113812,0.000005694276,0.07976683,0.01273898,0.004690901],"study_design_scores_gemma":[0.003498775,0.0002007303,0.1145725,0.0002099561,0.0000596477,0.000002169128,0.8451322,0.0002277299,0.000001549262,0.01755193,0.01831498,0.0002277834],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867277,0.00008184803,0.00001486531,0.001602883,0.0005099971,0.004244255,0.00002101082,0.0002067925,0.00659062],"genre_scores_gemma":[0.9936554,0.00009372847,0.00001966485,0.0002636226,0.00009839423,0.004433808,0.00006146033,0.00003063975,0.001343211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5726581,"threshold_uncertainty_score":0.5725912,"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."}}