{"id":"W4398554788","doi":"10.7910/dvn/fmk6sq/y6ttjl","title":"249770_4S2(RGB)(Colour_1).tif","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; RGB color model; Staining; Degree (music); Lymph; Methylene; Chemistry; Computer science; Art; Pathology; Medicine; Artificial intelligence; Physics; Medicinal chemistry; Biochemistry; Acoustics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008443973,0.004709825,0.002053208,0.003557014,0.001040546,0.002762412,0.004713481,0.003417999,0.2360396],"category_scores_gemma":[0.004501823,0.001168674,0.002248168,0.004755618,0.0006350338,0.001813303,0.002500721,0.002117958,0.2952051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081798,"about_ca_system_score_gemma":0.001926697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04516447,"about_ca_topic_score_gemma":0.06166764,"domain_scores_codex":[0.9991515,0.0001094352,0.00007098976,0.0002767003,0.0001676116,0.0002237861],"domain_scores_gemma":[0.9987368,0.0002887665,0.000108344,0.0003399435,0.0003408093,0.000185301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004445053,0.0000154194,0.0002196298,0.0003588808,0.00001744448,0.000008332308,0.00001028739,0.0001535149,0.0001002904,0.0001465435,0.9973673,0.001557932],"study_design_scores_gemma":[0.0003808651,0.00003864266,0.003255491,0.0003521884,0.00004553118,0.00007121389,0.0000729129,0.0008631402,0.0008947949,0.001479603,0.9924907,0.00005488831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008332859,0.00006338235,0.00005634156,0.00005964166,0.00002854181,0.00001142109,0.9978837,0.001094654,0.0007189508],"genre_scores_gemma":[0.0003542175,0.00005530585,0.000237509,0.00005469119,0.00001107631,0.00004994843,0.9981817,0.0002069316,0.0008486898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7639604,"threshold_uncertainty_score":0.7896311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019702736569427,"score_gpt":0.2470276416789191,"score_spread":0.2273249051094921,"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."}}