{"id":"W4394170122","doi":"10.6084/m9.figshare.22602530","title":"Additional file 2 of Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinoma","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hepatocellular carcinoma; Table (database); Oncology; Internal medicine; Stage (stratigraphy); Medicine; Cohort; Computer science; Biology; Database","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":[0.001159678,0.001298454,0.001316033,0.001371039,0.0006128016,0.001498755,0.001738666,0.001515594,0.4379358],"category_scores_gemma":[0.01182864,0.0004681214,0.00126859,0.001906993,0.0002669498,0.001025159,0.000934264,0.001116857,0.05821664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076037,"about_ca_system_score_gemma":0.001700532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008266772,"about_ca_topic_score_gemma":0.01930408,"domain_scores_codex":[0.9994605,0.00008233356,0.00008535151,0.0001942364,0.00008977458,0.00008789373],"domain_scores_gemma":[0.9957024,0.002894847,0.0003532664,0.0003648971,0.0004834521,0.0002010843],"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":[0.0006405141,0.0001247379,0.008671874,0.00391194,0.0001926531,0.00009524803,0.00004129204,0.0008979207,0.000256192,0.0004466702,0.9779325,0.006788642],"study_design_scores_gemma":[0.01283741,0.0006085747,0.0732576,0.004009341,0.0009441952,0.0008745108,0.0003742163,0.00598421,0.001897592,0.008869594,0.8901384,0.0002041978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001813325,0.0000218742,0.00005056462,0.00004566259,0.000008599728,0.00001753038,0.9995035,0.00005948844,0.0001115637],"genre_scores_gemma":[0.003541615,0.00006380487,0.0007306723,0.0001627105,0.0000327887,0.0004519522,0.9935316,0.00008602226,0.001398791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4379358,"threshold_uncertainty_score":0.8017163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601344186065265,"score_gpt":0.2627721867164152,"score_spread":0.2467587448557626,"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."}}