{"id":"W4312211750","doi":"10.3389/fpubh.2022.955287","title":"Development and validation of a risk prediction model for incident liver cancer","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Medical Research Council; National Natural Science Foundation of China","keywords":"Nomogram; Medicine; Confidence interval; Liver cancer; Risk assessment; Population; Regression analysis; Statistics; Biobank; Cancer; Oncology; Internal medicine; Computer science; Bioinformatics; Environmental health; Mathematics","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":[0.008139736,0.000851807,0.00111236,0.001227556,0.0003693586,0.001209717,0.001026672,0.0007408201,0.001251322],"category_scores_gemma":[0.01682108,0.0003660819,0.001256982,0.0005929933,0.0002933673,0.0006084252,0.0007706651,0.001177763,0.0005032775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104697,"about_ca_system_score_gemma":0.001885603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007204943,"about_ca_topic_score_gemma":0.00449578,"domain_scores_codex":[0.9981193,0.0008956045,0.0001434384,0.0003998056,0.0003217534,0.0001200778],"domain_scores_gemma":[0.9938386,0.004089415,0.0005405521,0.0003309359,0.001064056,0.0001364803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001110086,0.0006447413,0.3069802,0.0002166009,0.0009961737,0.0004540927,0.0002602887,0.5613534,0.003091907,0.002429938,0.003930036,0.1185325],"study_design_scores_gemma":[0.00006625894,0.0001996666,0.02246124,0.00004731475,0.0001327454,0.0001318865,0.00002526281,0.9736398,0.0007065584,0.001675938,0.0008896872,0.0000236022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5458122,0.00066989,0.44651,0.0009841962,0.0001326263,0.000535657,0.002365435,0.001189574,0.001800409],"genre_scores_gemma":[0.907073,0.0001979597,0.08920179,0.000143918,0.00004125176,0.0004029926,0.002020197,0.00005711231,0.000861786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008139736,"threshold_uncertainty_score":0.04304755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003168045780291,"score_gpt":0.2847721274033715,"score_spread":0.1844553228253424,"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."}}