{"id":"W6980781781","doi":"","title":"Cost-utility analysis of imaging for surveillance and diagnosis of hepatocellular carcinoma","year":2019,"lang":"en","type":"other","venue":"Open MIND","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical screening; Lung disease; Hepatocellular carcinoma; Colonic disease; Congenital disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004782327,0.0006849751,0.0009433842,0.00289637,0.000176385,0.001585234,0.0009462922,0.0007846787,0.003293003],"category_scores_gemma":[0.03604705,0.0003192127,0.002162754,0.002895023,0.0003458203,0.001075772,0.000892295,0.0006296962,0.0002060263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00432576,"about_ca_system_score_gemma":0.002445356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309152,"about_ca_topic_score_gemma":0.008076907,"domain_scores_codex":[0.9956478,0.003094989,0.00020847,0.0001922105,0.0005840119,0.0002725933],"domain_scores_gemma":[0.9772097,0.01863489,0.001832218,0.0004746893,0.00122523,0.0006231951],"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":[0.01764397,0.0008476789,0.3200062,0.00152088,0.003639199,0.0006136624,0.0001574478,0.4013647,0.001397609,0.009731488,0.004049144,0.2390281],"study_design_scores_gemma":[0.001103139,0.005474024,0.3207892,0.0007458674,0.003569077,0.001291226,0.0005910541,0.6541984,0.00139316,0.00663448,0.004041598,0.0001688744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563032,0.01751752,0.01103404,0.003467301,0.0001196454,0.0006297687,0.004181785,0.00008691367,0.006659656],"genre_scores_gemma":[0.9941426,0.001533804,0.002837528,0.00008755756,0.00003677198,0.0001287287,0.0008973191,0.0000121695,0.0003235488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309152,"threshold_uncertainty_score":0.03138578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122909662595514,"score_gpt":0.3477303707658601,"score_spread":0.3265012741399049,"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."}}