{"id":"W4403961907","doi":"10.58931/cot.2024.1325","title":"First-line Treatment Selection for Advanced Hepatocellular Carcinoma","year":2024,"lang":"en","type":"article","venue":"Canadian oncology today.","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre; McMaster University","funders":"","keywords":"Hepatocellular carcinoma; Selection (genetic algorithm); Line (geometry); Oncology; Medicine; Internal medicine; Computer science; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001327168,0.0002763061,0.0004314401,0.0003981058,0.0002264238,0.00003152967,0.00006240043,0.0003080193,0.0005293499],"category_scores_gemma":[0.00003945942,0.0002425517,0.0002819489,0.0003273071,0.00005753095,0.00007522168,0.000007383134,0.0001393119,0.00020816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003559769,"about_ca_system_score_gemma":0.002637685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01923839,"about_ca_topic_score_gemma":0.1170079,"domain_scores_codex":[0.9984908,0.00003801042,0.0002675896,0.0005058094,0.0000920013,0.0006058257],"domain_scores_gemma":[0.9987838,0.0001505077,0.00003204675,0.0002190297,0.0001026031,0.0007119587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003819469,0.000279154,0.7698607,0.0003350766,0.0006083627,0.002943652,0.0007644983,0.00001378454,0.001484859,0.001867576,0.01173945,0.209721],"study_design_scores_gemma":[0.002529431,0.005106102,0.003221175,0.00008144885,0.000633705,0.0003323262,0.00004811348,0.04515448,0.006265055,0.0002526108,0.9361228,0.0002527922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692423,0.007579195,0.0005219028,0.01293834,0.0008732388,0.002366595,0.0001333547,0.0002163754,0.006128672],"genre_scores_gemma":[0.9880986,0.0002426253,0.001433798,0.0005850499,0.0005233784,0.0009376385,0.00039205,0.00006635554,0.007720464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9243833,"threshold_uncertainty_score":0.9890971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05903454439788217,"score_gpt":0.2902703179108537,"score_spread":0.2312357735129716,"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."}}