{"id":"W6964007845","doi":"10.25345/c51834c1s","title":"MassIVE MSV000091048 - PYCRL lactylation as a potential regulator of cancer stem cell metabolism in esophageal squamous cell carcinoma","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Regulator; Stem cell; Esophageal squamous cell carcinoma; Basal cell; Esophagus; Carcinoma; Cancer stem cell; Cancer","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":[0.0004709797,0.001430417,0.001922015,0.001801951,0.0007419106,0.001602493,0.001522772,0.00178858,0.02141229],"category_scores_gemma":[0.001791658,0.0003853017,0.001400168,0.002991116,0.0003245206,0.0004628936,0.00145648,0.0009033938,0.01576228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008244511,"about_ca_system_score_gemma":0.001453589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735373,"about_ca_topic_score_gemma":0.03257632,"domain_scores_codex":[0.9994704,0.0000523954,0.00004177599,0.0002132148,0.0001109739,0.0001112399],"domain_scores_gemma":[0.9995458,0.0001435195,0.00006573848,0.00008361844,0.00008519452,0.00007612209],"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":[0.001715508,0.00008838952,0.02635612,0.003198028,0.0007389403,0.0005015933,0.0001292635,0.002828126,0.007563451,0.001296254,0.9391805,0.01640381],"study_design_scores_gemma":[0.001505795,0.000222571,0.110997,0.001149938,0.001683452,0.001539824,0.0003328093,0.006454693,0.006643896,0.004654964,0.8646595,0.0001555612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008050869,0.00174931,0.0002452388,0.0002490848,0.00007303676,0.00001361678,0.9866564,0.0007327995,0.002229593],"genre_scores_gemma":[0.01079355,0.0005394024,0.0005407894,0.0002408269,0.00001887397,0.00006010015,0.9863991,0.0001026947,0.001304705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02141229,"threshold_uncertainty_score":0.07163125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138973100066691,"score_gpt":0.2554689132683011,"score_spread":0.2440791822676342,"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."}}