{"id":"W4413857297","doi":"10.1186/s12903-025-06700-0","title":"Lipid metabolites as biomarkers and therapeutic targets in oral squamous cell carcinoma","year":2025,"lang":"en","type":"article","venue":"BMC Oral Health","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Key Research and Development Program of China; First Affiliated Hospital of Zhengzhou University; Zhengzhou University","keywords":"Lipidomics; Medicine; Lipid metabolism; Orbitrap; Metabolomics; Cancer research; Biomarker; Transcriptome; Oncology; Basal cell; Diagnostic biomarker; Internal medicine; Bioinformatics; Pathology; Cancer; Mass spectrometry; Biology; Biochemistry; Chemistry; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0003411094,0.0001918723,0.000309253,0.0001149414,0.0000834192,0.00002247193,0.0001275565,0.0001279936,0.0000139007],"category_scores_gemma":[0.00003288119,0.0001790741,0.00007631957,0.000190476,0.00008094235,0.000004090658,0.00008148064,0.00009971639,0.000004109766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003205693,"about_ca_system_score_gemma":0.0005806208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782814,"about_ca_topic_score_gemma":0.005364347,"domain_scores_codex":[0.998596,0.0001868523,0.0002810569,0.0004168948,0.00009102182,0.0004281638],"domain_scores_gemma":[0.9994531,0.00002157115,0.00007318381,0.0002751417,0.00003597356,0.0001409816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001927026,0.0007600762,0.6196659,0.001483811,0.00009651224,9.195235e-7,0.0005805256,0.00003480176,0.2127848,0.00334222,0.06743959,0.09188388],"study_design_scores_gemma":[0.002854656,0.0003816501,0.1968874,0.00001483287,0.000034059,0.000005512066,0.0003828612,0.00008773938,0.02412768,0.0002769794,0.7746356,0.0003109892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977431,0.09715136,0.0002048202,0.0002665422,0.003044031,0.0004207125,0.00002551652,0.00001759266,0.001126343],"genre_scores_gemma":[0.9933442,0.001161661,0.0007786847,0.002457957,0.001021015,0.00003076286,0.00005458192,0.00001943916,0.001131678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7071961,"threshold_uncertainty_score":0.7302431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740184329277003,"score_gpt":0.3003830146789712,"score_spread":0.2829811713862011,"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."}}