{"id":"W4238466674","doi":"10.1038/labinvest.2018.24","title":"USCAP 2018 Abstracts: Techniques (2229–2304)","year":2018,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of Alberta; Workers Compensation Board of Alberta","funders":"","keywords":"Medicine; Computational biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005624865,0.0001277969,0.0002549681,0.0001321099,0.000140983,0.00002250607,0.00008774711,0.0002065841,0.0004230442],"category_scores_gemma":[0.0004932299,0.0001115471,0.00002868267,0.0004080242,0.0007058096,0.0001801064,0.00002677709,0.0002214758,0.0007214494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323669,"about_ca_system_score_gemma":0.0006262414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006666775,"about_ca_topic_score_gemma":0.00002838823,"domain_scores_codex":[0.9987953,0.00008710149,0.0003125881,0.0002434915,0.0003025015,0.0002590238],"domain_scores_gemma":[0.9986798,0.00006846837,0.0001108635,0.0003507741,0.0005334435,0.0002566576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001894416,0.0001844995,0.4537896,0.0002026343,0.0001359689,0.0000600758,0.001273682,1.827661e-7,0.3965763,0.004955716,0.1392231,0.003408741],"study_design_scores_gemma":[0.0009402815,0.001341762,0.4196738,0.0002622336,0.0001641196,0.00003127243,0.0002293552,0.0001961193,0.4021918,0.003906195,0.1707907,0.0002723982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618766,0.0001077762,0.0001531421,0.002114231,0.0001558722,0.0004152226,0.00001659731,0.0002407335,0.0349198],"genre_scores_gemma":[0.9751841,0.00005342517,0.01753579,0.003906043,0.001148325,0.00007831274,0.00006518926,0.00002978931,0.001999016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03411579,"threshold_uncertainty_score":0.9273013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483693791240233,"score_gpt":0.3386270852741802,"score_spread":0.3037901473617778,"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."}}