{"id":"W2995258213","doi":"10.1111/srt.12822","title":"Using content‐based image retrieval of dermoscopic images for interpretation and education: A pilot study","year":2019,"lang":"en","type":"article","venue":"Skin Research and Technology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health; University of British Columbia; MetaOptima Technology (Canada); Quest University Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Content-based image retrieval; Set (abstract data type); Interface (matter); Image retrieval; Information retrieval; Artificial intelligence; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002733181,0.00005647254,0.0001552087,0.0005274346,0.0000530099,0.00001576373,0.00004428245,0.00003748428,0.00002679125],"category_scores_gemma":[0.0002279746,0.0000499887,0.000009699646,0.0002861842,0.0001868076,0.00002853019,0.00006255849,0.0001290225,0.000002325507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363456,"about_ca_system_score_gemma":0.00009867841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005004035,"about_ca_topic_score_gemma":0.00001140794,"domain_scores_codex":[0.9993637,0.00003056376,0.0001325574,0.0001952358,0.000132185,0.000145752],"domain_scores_gemma":[0.9993352,0.00008165641,0.00003662687,0.0001738005,0.0003339257,0.00003883992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003221198,0.001592936,0.03941835,0.0007966742,0.0001179549,0.00001983485,0.0001438398,1.237993e-7,0.9192002,0.001484208,0.0002053255,0.0337993],"study_design_scores_gemma":[0.0185784,0.1182779,0.04018163,0.0007520508,0.0002271022,0.0004976116,0.03786127,0.003835243,0.7684726,0.008440377,0.002459196,0.0004166319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956957,0.0002770126,0.0008857714,0.0008909972,0.00006354626,0.001804949,0.000002542866,0.00002972425,0.0003497233],"genre_scores_gemma":[0.9957398,0.00001393365,0.00329285,0.00002438903,0.00001441396,0.00003935376,0.000003052688,0.000008233535,0.0008640282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507276,"threshold_uncertainty_score":0.203848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09230790806549806,"score_gpt":0.4040295343464129,"score_spread":0.3117216262809149,"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."}}