{"id":"W3162304969","doi":"10.1210/clinem/dgab363","title":"Galectin-3 in NAFLD: Therapeutic Target or Noncausal Biomarker?","year":2021,"lang":"en","type":"letter","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"","keywords":"Biomarker; Galectin-3; Cancer research; Galectin; Chemistry; Computational biology; Medicine; Internal medicine; Biology; Immunology; Biochemistry","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003023364,0.0006843826,0.003321175,0.0004960892,0.0001880068,0.00002470626,0.001788506,0.002672944,0.003633471],"category_scores_gemma":[0.001464714,0.0003868886,0.001040531,0.0005199491,0.001470323,0.00009119774,0.0003356817,0.01207128,0.0002121878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005997338,"about_ca_system_score_gemma":0.001367697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001354201,"about_ca_topic_score_gemma":0.0001071985,"domain_scores_codex":[0.9863166,0.007970931,0.003536074,0.0006046938,0.0001710481,0.001400616],"domain_scores_gemma":[0.9908609,0.005170261,0.002531586,0.0009129224,0.0004676305,0.00005674129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003793372,0.0004474092,0.003180567,0.00005671687,0.004125733,0.003285632,0.0002399694,0.000004683771,0.005343577,0.00013168,0.9450105,0.03438012],"study_design_scores_gemma":[0.004574596,0.0006795536,0.01995814,0.00008475316,0.000813032,0.009352299,0.0001268504,7.913338e-7,0.001197448,0.0007896358,0.9620345,0.0003883698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09309813,0.1937325,0.0001654303,0.6728309,0.03751641,0.0006773212,0.00008208754,0.00006935031,0.001827863],"genre_scores_gemma":[0.09727701,0.04501154,0.0003510438,0.8258423,0.01314399,0.00004545575,0.0001698219,0.0002101696,0.01794863],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1530115,"threshold_uncertainty_score":0.9998583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09849974417249771,"score_gpt":0.3806885794496019,"score_spread":0.2821888352771041,"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."}}