{"id":"W4394909940","doi":"10.1371/journal.pone.0296198","title":"Comprehensive analysis of differentially expressed miRNAs in hepatocellular carcinoma: Prognostic, predictive significance and pathway insights","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Hepatocellular carcinoma; microRNA; Sorafenib; Epigenetics; Biology; Clinical significance; Bioinformatics; Gene expression profiling; Cancer research; Gene; Medicine; Gene expression; Internal medicine; 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":[0.0007559821,0.0002954099,0.0005128185,0.001176713,0.0002484925,0.0005104026,0.0001492058,0.0001639019,0.0007581627],"category_scores_gemma":[0.0008688573,0.0001195995,0.0004437067,0.001224138,0.0001409379,0.0002429248,0.0004090319,0.0002913437,0.0002238419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515492,"about_ca_system_score_gemma":0.000623503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004143155,"about_ca_topic_score_gemma":0.0009101679,"domain_scores_codex":[0.9996907,0.00006617514,0.00003951136,0.00009069894,0.00006780248,0.00004517903],"domain_scores_gemma":[0.9996073,0.0001503461,0.0001129137,0.00003181057,0.0000483342,0.00004923503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002783461,0.0002467681,0.5253075,0.0008548272,0.001020294,0.0009818084,0.0002317358,0.006766891,0.3125743,0.0009953855,0.001371493,0.1468655],"study_design_scores_gemma":[0.00008481181,0.0008418182,0.8714154,0.0000939917,0.001336753,0.002883153,0.0002921478,0.04133302,0.06859404,0.003274664,0.009777955,0.00007231972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822555,0.005050155,0.007151854,0.0002376227,0.00001436417,0.00003755322,0.004434659,0.0001119921,0.0007061596],"genre_scores_gemma":[0.9888658,0.001055336,0.006322891,0.00004928658,0.00001053063,0.00003459928,0.003381918,0.00001665534,0.0002630643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001176713,"threshold_uncertainty_score":0.003998041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077318272048068,"score_gpt":0.2134886236718564,"score_spread":0.1927154409513757,"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."}}