{"id":"W4404331550","doi":"10.29173/irie529","title":"Patient Photographs and Google Images: An AI Ethics Case Study","year":2024,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Toronto Metropolitan University; McGill University","funders":"","keywords":"Visual arts; Psychology; Medicine; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002533322,0.0007412978,0.0003953822,0.003721456,0.005566529,0.00344584,0.001096798,0.005544464,0.004197402],"category_scores_gemma":[0.02174516,0.0004605242,0.000728397,0.002425723,0.003418504,0.003810204,0.00301162,0.003017482,0.001289576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345861,"about_ca_system_score_gemma":0.001123182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002115112,"about_ca_topic_score_gemma":0.003545108,"domain_scores_codex":[0.9957964,0.002071177,0.0003800061,0.0002862086,0.0009691069,0.0004970703],"domain_scores_gemma":[0.9897105,0.006276991,0.001645213,0.0006702085,0.0006326711,0.001064441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001355166,0.0003843717,0.0199197,0.0004633878,0.00004307017,0.8687996,0.03913295,0.0003600423,0.001132934,0.02463203,0.01800514,0.02699135],"study_design_scores_gemma":[0.000007983054,0.00004437846,0.002784291,0.0002587036,0.00001640125,0.9441925,0.01082115,0.000403952,0.0006273685,0.002941236,0.03787307,0.00002897695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8124793,0.01528515,0.01122281,0.05896258,0.001533849,0.0006862881,0.0006038054,0.0001953197,0.0990309],"genre_scores_gemma":[0.9677029,0.006344056,0.006197137,0.005987567,0.001174383,0.0001402948,0.0001574462,0.00007420164,0.01222206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005566529,"threshold_uncertainty_score":0.01702046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04706171117309046,"score_gpt":0.4159369626774046,"score_spread":0.3688752515043141,"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."}}