{"id":"W2788884986","doi":"10.2196/jmir.8787","title":"Open Availability of Patient Medical Photographs in Google Images Search Results: Cross-Sectional Study of Transgender Research","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; McGill University; Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; Research and Development Corporation of Newfoundland and Labrador; Canadian Mental Health Association","keywords":"Transgender; Confidentiality; Odds; Computer science; Medical education; Medicine; Psychology; Information retrieval; Logistic regression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07787374,0.0002232104,0.001117703,0.002211801,0.0000808256,0.0001401871,0.003135482,0.0004204806,0.00501976],"category_scores_gemma":[0.03728544,0.0001566277,0.0002163332,0.002416561,0.006273857,0.0003997264,0.001735031,0.005477035,0.00003752426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993344,"about_ca_system_score_gemma":0.003259948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005827378,"about_ca_topic_score_gemma":0.0006090886,"domain_scores_codex":[0.970181,0.002831621,0.003652466,0.00069092,0.02163669,0.001007278],"domain_scores_gemma":[0.9852626,0.003744475,0.0003880606,0.0008993517,0.00828199,0.001423467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02184358,0.02253521,0.8682366,0.000709491,0.000621785,0.00284008,0.01672411,0.000002823009,0.002298319,0.00008464843,0.04082132,0.02328202],"study_design_scores_gemma":[0.04092632,0.06916091,0.8057476,0.007168788,0.00005514379,0.001920479,0.02929005,0.001446064,0.03687311,0.0009834555,0.006060994,0.0003671293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780118,0.0002569486,0.00004636677,0.003159599,0.0003685787,0.001234753,0.00001878434,0.000007747636,0.01689539],"genre_scores_gemma":[0.9980088,0.0001843303,0.0002306969,0.0001098037,0.0005018579,0.0000244948,0.000007466623,0.00003615858,0.0008963434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06248906,"threshold_uncertainty_score":0.9968174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2076912276233875,"score_gpt":0.5424668893420982,"score_spread":0.3347756617187106,"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."}}