{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004131795,0.0007131623,0.0005030631,0.0006271283,0.0004597006,0.0006133845,0.0007465659,0.0008145944,0.004788375],"category_scores_gemma":[0.01207617,0.0003477179,0.0004980901,0.000226351,0.0005499956,0.001124406,0.0006673638,0.0005106518,0.001132644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002889798,"about_ca_system_score_gemma":0.000419341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137076,"about_ca_topic_score_gemma":0.001346186,"domain_scores_codex":[0.9984807,0.0008752043,0.0001134593,0.0001960385,0.0001793638,0.0001552605],"domain_scores_gemma":[0.9837017,0.01252733,0.0004346323,0.0009431685,0.001765495,0.000627685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0166243,0.1116839,0.1402686,0.004691719,0.0003796666,0.004856123,0.05829599,0.00418347,0.1637488,0.0005343934,0.004896101,0.4898371],"study_design_scores_gemma":[0.00488039,0.3081374,0.4527586,0.0004433491,0.001208764,0.008738529,0.02311175,0.04126892,0.1417187,0.0009239554,0.01630406,0.000505594],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949664,0.00005532932,0.003419819,0.00004643498,0.000009638904,0.0008368055,0.00006887015,0.00009986756,0.0004968835],"genre_scores_gemma":[0.9791199,0.0001403562,0.0182216,0.000145828,0.00002910698,0.0009357462,0.0001654214,0.00003604894,0.001205904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004788375,"threshold_uncertainty_score":0.0218513,"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."}}