{"id":"W3185640982","doi":"10.2196/26149","title":"Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ETH Zürich Foundation; Eidgenössische Technische Hochschule Zürich; Novartis Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"mHealth; Wound care; Medicine; Telehealth; Telemedicine; Documentation; Image quality; Quality (philosophy); Reliability (semiconductor); Multimedia; Computer science; Health care; Artificial intelligence; Surgery; Nursing; Image (mathematics)","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":[0.01013234,0.001506636,0.002799064,0.0008959365,0.001023971,0.001341516,0.001162875,0.002217539,0.008110964],"category_scores_gemma":[0.00957496,0.001029483,0.002110751,0.0008090757,0.002252971,0.001808769,0.001099498,0.002314616,0.001049029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236248,"about_ca_system_score_gemma":0.002505933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075845,"about_ca_topic_score_gemma":0.001267393,"domain_scores_codex":[0.9922207,0.004425369,0.0006204295,0.000844176,0.001156242,0.0007331098],"domain_scores_gemma":[0.9918709,0.003282243,0.001724685,0.0007863922,0.001207999,0.001127865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.6004716,0.3560821,0.004021811,0.001618559,0.0006817649,0.0001060696,0.000458932,0.0003019875,0.004533232,0.000180815,0.0005638821,0.03097931],"study_design_scores_gemma":[0.1926775,0.7962648,0.008290268,0.00006644239,0.0004328916,0.00002501499,0.0001459351,0.0005219728,0.0008436833,0.00009308744,0.0006006936,0.00003758179],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943444,0.0005648632,0.002253863,0.0001676838,0.0003245828,0.05188173,0.0003309124,0.00006973949,0.0009626045],"genre_scores_gemma":[0.9031783,0.0006820847,0.0105767,0.0005241373,0.0004652767,0.08283158,0.0003141209,0.00003346738,0.001394427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013234,"threshold_uncertainty_score":0.05358559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06569077594370488,"score_gpt":0.4499480238096526,"score_spread":0.3842572478659477,"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."}}