{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003217396,0.0001219155,0.0002106121,0.0001701442,0.00007013747,0.0001115866,0.000147699,0.00006885987,0.00008433692],"category_scores_gemma":[0.003736027,0.00007518898,0.00006853134,0.0002489225,0.0002071753,0.001049697,0.00009102307,0.001255697,0.00002985444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004586119,"about_ca_system_score_gemma":0.0002808475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001805824,"about_ca_topic_score_gemma":0.00001062618,"domain_scores_codex":[0.9979704,0.0001083624,0.0006818331,0.0001044605,0.001045313,0.00008964119],"domain_scores_gemma":[0.9977412,0.0007370161,0.0001639774,0.0002832598,0.0009997886,0.00007471113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001759183,0.001003383,0.002035695,0.05889188,0.001175011,0.001463332,0.2356166,0.00003017863,0.0001616209,0.02932912,0.03804596,0.6320713],"study_design_scores_gemma":[0.003111581,0.004236859,0.001738663,0.1096421,0.001680703,0.03705953,0.1084744,0.01907968,0.001210229,0.004704842,0.7081759,0.0008855415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4237586,0.076511,0.01149882,0.3579237,0.004907474,0.008582246,0.0003742499,0.0007160207,0.1157279],"genre_scores_gemma":[0.9454116,0.01110345,0.0004913685,0.04269077,0.00006805263,0.00004297608,0.00009763068,0.0000121233,0.00008207854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.67013,"threshold_uncertainty_score":0.545545,"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."}}