{"id":"W4417357255","doi":"10.2196/87613","title":"Quantitative Understanding of Advanced Novel Imaging Techniques for Fasciitis and Biosignature Yield (Quantify): Protocol for a Cross-Sectional Diagnostic Study","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Yield (engineering); Medical imaging; Fasciitis; Plantar fasciitis","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":[0.03838541,0.003232131,0.002321323,0.002204527,0.002855022,0.001730193,0.003031528,0.003681311,0.03096355],"category_scores_gemma":[0.03607251,0.002203193,0.002316939,0.001925423,0.002083525,0.001135247,0.002361499,0.003516155,0.008434035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495656,"about_ca_system_score_gemma":0.01057223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403037,"about_ca_topic_score_gemma":0.002126628,"domain_scores_codex":[0.9802249,0.01153537,0.002368542,0.001895122,0.002942276,0.00103363],"domain_scores_gemma":[0.9649045,0.007163736,0.003577485,0.006641039,0.01618252,0.001530699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2077933,0.06356985,0.03049248,0.0271899,0.001848293,0.001830494,0.004274866,0.01148255,0.07081868,0.02823052,0.1019574,0.4505118],"study_design_scores_gemma":[0.1059542,0.1422624,0.1048939,0.01053245,0.001957161,0.001583177,0.002234081,0.01603414,0.04778646,0.01725384,0.548482,0.001026196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.006424452,0.0002903301,0.02483205,0.0002930459,0.0002792559,0.9627196,0.001941566,0.0002831182,0.002936613],"genre_scores_gemma":[0.002819848,0.00009367101,0.02119432,0.0001601026,0.0000289334,0.9746547,0.0003162796,0.00002265153,0.0007095565],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03838541,"threshold_uncertainty_score":0.2030039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4432206212616878,"score_gpt":0.6332670530359089,"score_spread":0.1900464317742211,"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."}}