{"id":"W4313006958","doi":"10.56588/iabcd.v1i1.27","title":"GENOMIC, EPIGENOMIC AND PROTEOMIC LANDSCAPING OF HEPATOCELLULAR CARCINOMA","year":2022,"lang":"en","type":"article","venue":"International Association of Biologicals and Computational Digest","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Hepatocellular carcinoma; Epigenetics; Malignancy; Epigenomics; Medicine; Cancer; Metastasis; Carcinogenesis; Disease; Bioinformatics; Oncology; Internal medicine; Biology; DNA methylation; Gene; Genetics","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":[0.0002112755,0.0003017488,0.0004191797,0.0008644772,0.0001951586,0.0007714168,0.0002119292,0.0004217887,0.0011876],"category_scores_gemma":[0.0002892036,0.0001142809,0.0003708585,0.0008174002,0.000307658,0.0005565019,0.0003986472,0.0005694051,0.0005370734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003612534,"about_ca_system_score_gemma":0.0003303775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005760663,"about_ca_topic_score_gemma":0.0008208909,"domain_scores_codex":[0.9998888,0.00002176641,0.00001401782,0.00003037723,0.00002563928,0.00001943248],"domain_scores_gemma":[0.9999115,0.00001917365,0.00001913208,0.000006871795,0.00003008194,0.00001315946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000361871,0.00007506977,0.01136071,0.0123897,0.0003741174,0.004259446,0.000997596,0.001753123,0.205113,0.01318051,0.03147921,0.7186556],"study_design_scores_gemma":[0.00001666942,0.0003035238,0.07364874,0.00133828,0.0004809403,0.01311091,0.00113659,0.001634516,0.06807481,0.009427289,0.8306605,0.0001673132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02395286,0.9619257,0.004503509,0.002077548,0.0008896794,0.00001765295,0.0005106449,0.00009603086,0.006026297],"genre_scores_gemma":[0.08737086,0.9021355,0.001954023,0.0009616455,0.001037943,0.00003111449,0.0008120163,0.00002508462,0.005671889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0011876,"threshold_uncertainty_score":0.003972888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724859431305272,"score_gpt":0.2468293082716096,"score_spread":0.2295807139585568,"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."}}