{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002857314,0.000217576,0.0006137959,0.0006202866,0.0004818192,0.0006138114,0.0002015928,0.0004153819,0.01136197],"category_scores_gemma":[0.001092955,0.00008038335,0.0007917423,0.00045484,0.0001698862,0.0005422653,0.0002988167,0.0007541085,0.002607263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008870507,"about_ca_system_score_gemma":0.0004944484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537043,"about_ca_topic_score_gemma":0.004948483,"domain_scores_codex":[0.999816,0.0000319728,0.00002397488,0.00002804169,0.00005265002,0.00004742175],"domain_scores_gemma":[0.9996593,0.00004233287,0.0000571141,0.00002155857,0.00007125781,0.0001484122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003556288,0.0003371942,0.1402121,0.001336478,0.000299614,0.004966842,0.0002617701,0.00185989,0.01075144,0.002944804,0.1208768,0.7125969],"study_design_scores_gemma":[0.0008943303,0.003534154,0.4663629,0.003126626,0.0008025682,0.04058798,0.0009475983,0.004245507,0.01361486,0.008386106,0.4573033,0.0001940386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4837831,0.2065271,0.02607585,0.02445784,0.004594941,0.001303002,0.01433962,0.001334955,0.2375836],"genre_scores_gemma":[0.9076834,0.03644802,0.007241839,0.009957178,0.002183092,0.0006118579,0.01654874,0.0003106793,0.01901523],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01136197,"threshold_uncertainty_score":0.03800964,"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."}}