{"id":"W4409718590","doi":"10.1016/j.trecan.2025.03.008","title":"New insights into tryptophan metabolism in cancer","year":2025,"lang":"en","type":"review","venue":"Trends in cancer","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Foundation for the National Institutes of Health","keywords":"Tryptophan Metabolism; Tryptophan; Metabolism; Cancer; Computational biology; Biology; Chemistry; Biochemistry; Genetics; Amino acid","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008720112,0.0007177711,0.001991359,0.001443692,0.00006682231,0.00007060177,0.001039349,0.000474535,0.002314449],"category_scores_gemma":[0.0001200273,0.0005987725,0.0004268702,0.004789495,0.0001060693,0.0002001516,0.000223559,0.0009160542,0.00004592215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006387843,"about_ca_system_score_gemma":0.001254399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005914249,"about_ca_topic_score_gemma":0.02640361,"domain_scores_codex":[0.9964958,0.0003337054,0.0008531656,0.001270058,0.0003985596,0.0006487443],"domain_scores_gemma":[0.9986224,0.0003037454,0.000280722,0.0006167751,0.00001498179,0.0001613751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001123307,0.00006880962,0.000003694526,0.002490806,0.00001559313,0.00003403049,0.0004841724,0.00001429101,0.00001319312,0.0009162462,0.005764599,0.9901834],"study_design_scores_gemma":[0.0008114732,0.00001172711,0.00008593145,0.008431408,0.00008171619,0.000001284153,0.00001062175,0.000005943426,0.0001936316,0.0006517948,0.9891267,0.0005877677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004102764,0.9873862,0.000006006053,0.0002474355,0.002152996,0.0003922879,0.00005434831,0.00008349472,0.009636263],"genre_scores_gemma":[0.00009879386,0.9822366,0.0000647729,0.0006854865,0.0004053068,0.0007693954,0.00001610754,0.00007029933,0.01565329],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9895956,"threshold_uncertainty_score":0.9996464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.072854153846123,"score_gpt":0.3950581419789259,"score_spread":0.3222039881328029,"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."}}