{"id":"W4295693723","doi":"10.1245/s10434-022-12494-0","title":"A Novel Online Calculator to Predict Risk of Microvascular Invasion in the Preoperative Setting for Hepatocellular Carcinoma Patients Undergoing Curative-Intent Surgery","year":2022,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Surgical oncology; Hazard ratio; Confidence interval; Hepatocellular carcinoma; Internal medicine; Odds ratio; Hepatectomy; Cohort; Multivariate analysis; Proportional hazards model; Surgery; Oncology; Resection","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":[0.002049368,0.0009116803,0.001018135,0.002890515,0.0002389678,0.001083012,0.0007125767,0.000555857,0.002373544],"category_scores_gemma":[0.00998364,0.0003120287,0.0008093193,0.001455712,0.0001652254,0.0005891318,0.0007729734,0.0007394323,0.0008735736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436737,"about_ca_system_score_gemma":0.0008202795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962486,"about_ca_topic_score_gemma":0.002227057,"domain_scores_codex":[0.9992261,0.0002384115,0.000111128,0.0001862479,0.0001799966,0.00005810507],"domain_scores_gemma":[0.9947791,0.002517432,0.001341838,0.0002782441,0.00079937,0.0002840615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001119642,0.0006010931,0.8844227,0.0001517158,0.0004230303,0.0002050911,0.00007172026,0.01706243,0.0007466583,0.0002584108,0.005112401,0.08982519],"study_design_scores_gemma":[0.0004527741,0.001542145,0.4588536,0.0001466985,0.0007561941,0.001337489,0.0001693953,0.5252095,0.003667301,0.001618239,0.006120332,0.0001263285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9256115,0.001106391,0.05701753,0.0006463981,0.0001511735,0.0005365161,0.008134195,0.003775637,0.003020698],"genre_scores_gemma":[0.9518257,0.0003698732,0.03832537,0.0001810469,0.0001108285,0.0005113117,0.007780964,0.000101942,0.0007929131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002890515,"threshold_uncertainty_score":0.01083827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1220438004812387,"score_gpt":0.3213074896265776,"score_spread":0.1992636891453388,"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."}}