{"id":"W4285152249","doi":"10.25270/con.2022.05.00001","title":"An Atlas of Lumps and Bumps: Part 16","year":2022,"lang":"en","type":"article","venue":"Consultant","topic":"Tumors and Oncological Cases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary; Alberta Children's Hospital","funders":"","keywords":"Atlas (anatomy); Geology; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003115759,0.0008844475,0.0004471142,0.00672363,0.00103784,0.001829601,0.001215504,0.001871756,0.04397994],"category_scores_gemma":[0.001137633,0.0005244481,0.0005941679,0.00627596,0.0006976268,0.001951649,0.001166782,0.001904253,0.01466217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435022,"about_ca_system_score_gemma":0.001672703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005834645,"about_ca_topic_score_gemma":0.01477085,"domain_scores_codex":[0.9996743,0.00007212506,0.00004412096,0.000036917,0.0001074273,0.00006519748],"domain_scores_gemma":[0.9992988,0.0002150849,0.00006911253,0.00006129013,0.0002058019,0.0001499115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.0001327183,0.00007614653,0.003719089,0.001236868,0.00002705001,0.01293708,0.0005355299,0.003401303,0.003106215,0.01639226,0.5751708,0.3832649],"study_design_scores_gemma":[0.000004083454,0.00002448141,0.004094006,0.0002567163,0.00001029992,0.0214936,0.0001881666,0.0002197057,0.0001977335,0.002849282,0.9706441,0.00001779863],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01667463,0.1791489,0.0203877,0.01906075,0.01554146,0.0004555469,0.007567185,0.001787864,0.739376],"genre_scores_gemma":[0.1605158,0.245426,0.03384624,0.009963453,0.0211511,0.0004724397,0.01072481,0.001259091,0.516641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04397994,"threshold_uncertainty_score":0.1471276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521165016275596,"score_gpt":0.2901032007420705,"score_spread":0.2648915505793146,"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."}}