{"id":"W4293763357","doi":"10.1016/j.compbiomed.2022.105996","title":"Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics","year":2022,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Đại học Huế","keywords":"Inflammatory bowel disease; Identification (biology); Cancer; Cervical cancer; Key (lock); Bioinformatics; Computational biology; Disease; Gene; Computer science; Medicine; Biology; Pathology; Genetics; Internal medicine","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":[0.0002821026,0.0001039045,0.0002662892,0.0001625551,0.00007591548,0.0000054784,0.0000377032,0.00005687145,0.00002870892],"category_scores_gemma":[0.00003841649,0.00008282824,0.00001072749,0.0001011499,0.0003015782,0.00003848727,0.0001262623,0.0002179335,3.792654e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002816796,"about_ca_system_score_gemma":0.0000384759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001622418,"about_ca_topic_score_gemma":0.00002941412,"domain_scores_codex":[0.9991857,0.00008503171,0.0003472488,0.0001909494,0.00007324392,0.0001177976],"domain_scores_gemma":[0.9996699,0.00004406213,0.0001051763,0.00005627848,0.00002579266,0.00009878317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000602885,0.0000579123,0.9233637,0.000371437,0.00003935398,0.00001434039,0.001959605,0.00002112136,0.01799967,0.0001714822,0.0001896658,0.05520878],"study_design_scores_gemma":[0.006302436,0.0009088039,0.8509973,0.0004302572,0.0001313392,0.00004575543,0.001428371,0.1372591,0.0003289941,0.0002633441,0.001701997,0.0002022979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769531,0.02091772,0.0003200484,0.001369334,0.0001554441,0.0002156791,0.00005130946,0.00001075344,0.000006579423],"genre_scores_gemma":[0.9920165,0.007283576,0.0001514508,0.0003060498,0.00004575869,0.00003762793,0.0001459982,0.000005784186,0.00000725314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.137238,"threshold_uncertainty_score":0.3377638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151875411776844,"score_gpt":0.2706315284159542,"score_spread":0.2591127742981858,"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."}}