{"id":"W4394493734","doi":"10.6084/m9.figshare.22610851","title":"Additional file 1 of Normalization of tumor markers and a clear resection margin affect progression-free survival of patients with unresectable pancreatic cancer who have undergone conversion surgery","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Canadian Food Inspection Agency","funders":"","keywords":"Medicine; Pancreatic cancer; Affect (linguistics); Resection; Normalization (sociology); Surgery; Margin (machine learning); Oncology; Internal medicine; Cancer; Psychology; Computer science","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":[0.001255176,0.001549244,0.001558079,0.00155977,0.0006166482,0.001807553,0.002097727,0.001945505,0.3763575],"category_scores_gemma":[0.01900875,0.0005881231,0.002050153,0.002880514,0.0002964151,0.001260267,0.001237471,0.001571522,0.05488492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330882,"about_ca_system_score_gemma":0.00204072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148102,"about_ca_topic_score_gemma":0.02013707,"domain_scores_codex":[0.9991028,0.0001390316,0.0001593113,0.0002959501,0.0001466022,0.0001562814],"domain_scores_gemma":[0.9908069,0.005713766,0.001160526,0.000728475,0.001179543,0.0004107395],"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":[0.0006612709,0.00008452982,0.01001527,0.002869198,0.0002976786,0.00005786564,0.00003433255,0.0006461904,0.0001109738,0.00047436,0.9803333,0.004414954],"study_design_scores_gemma":[0.01923509,0.0006337149,0.142454,0.006679399,0.001698274,0.0011539,0.0003823719,0.00419493,0.001284273,0.01032533,0.8117399,0.0002190076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000235519,0.00003254316,0.00003926174,0.00006395177,0.00001180544,0.00001343006,0.9993306,0.00004131471,0.0002314514],"genre_scores_gemma":[0.004747251,0.0001070705,0.0005440892,0.000285302,0.00005109902,0.0005034407,0.991538,0.0001075961,0.002116188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3763575,"threshold_uncertainty_score":0.8895504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295431142977925,"score_gpt":0.3292961911488455,"score_spread":0.2963418797190662,"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."}}