{"id":"W4398626566","doi":"10.7910/dvn/fmk6sq/6u1czw","title":"657163_1_S1C(RGB).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; Computer science; Pathology; Medicine; Chemistry; Artificial intelligence; Physics; Biochemistry","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":["insufficient_payload"],"category_scores_codex":[0.0009052171,0.003829827,0.002111808,0.004102549,0.001039797,0.00305188,0.004049458,0.003355575,0.3088641],"category_scores_gemma":[0.006096787,0.001063679,0.002016715,0.00560818,0.0006178237,0.001774488,0.002440749,0.001990748,0.3206855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229674,"about_ca_system_score_gemma":0.002151621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04686254,"about_ca_topic_score_gemma":0.06280537,"domain_scores_codex":[0.999116,0.0001228297,0.00007877229,0.0002874696,0.0001650627,0.0002298932],"domain_scores_gemma":[0.9980835,0.0005625227,0.0001808923,0.0004088646,0.0004998385,0.0002645133],"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":[0.00004023331,0.00001238934,0.0002571622,0.0003788488,0.00001585634,0.00000711828,0.000009705403,0.0001241117,0.00005869552,0.00013545,0.9977918,0.001168612],"study_design_scores_gemma":[0.0004594655,0.00003566161,0.003608599,0.0004817946,0.00005045099,0.00006755539,0.00007061632,0.0005887189,0.0004829009,0.001409938,0.9926962,0.00004808002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000494698,0.00005089485,0.00002806545,0.00005338748,0.00002020328,0.000006911743,0.9987364,0.0004983823,0.0005562007],"genre_scores_gemma":[0.0003113881,0.00005507976,0.0001510116,0.00006543042,0.00001223675,0.00004659457,0.9983736,0.0001560167,0.0008285636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6911359,"threshold_uncertainty_score":0.9858215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902392744608012,"score_gpt":0.2460748172656797,"score_spread":0.2270508898195996,"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."}}