{"id":"W4248589802","doi":"10.1515/iupac.88.1120","title":"Nipple","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer and Skin Lesions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","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":[0.0007830163,0.001113178,0.001214416,0.003237254,0.0006559482,0.003014329,0.001948006,0.001360105,0.2547529],"category_scores_gemma":[0.009523929,0.0004486016,0.001160421,0.005484684,0.0002977015,0.002301015,0.002155268,0.001435861,0.2822952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055925,"about_ca_system_score_gemma":0.001896044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008969868,"about_ca_topic_score_gemma":0.01735053,"domain_scores_codex":[0.9989567,0.0001861227,0.000196148,0.0003133997,0.0002320896,0.0001156103],"domain_scores_gemma":[0.9969427,0.0008896377,0.0004287083,0.000626241,0.0008188438,0.00029392],"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":[0.0001084328,0.00001143789,0.001099247,0.001319463,0.00002666835,0.00002998323,0.00001873688,0.00009533033,0.00007344558,0.0007040153,0.9842983,0.01221492],"study_design_scores_gemma":[0.00006550876,0.00001006751,0.002086686,0.0005772925,0.00001559821,0.00007790399,0.00003968623,0.00009232624,0.0001115162,0.001033183,0.9958773,0.00001293888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001594092,0.0003249275,0.0001389151,0.0001748807,0.00007858359,0.0000308146,0.9929409,0.000463372,0.005688045],"genre_scores_gemma":[0.0007583708,0.0004229475,0.0004776466,0.0003771482,0.00004179923,0.00009924264,0.9928905,0.0001722193,0.004760282],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7452471,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614951733892364,"score_gpt":0.4846767275109651,"score_spread":0.4585272101720415,"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."}}