{"id":"W4213051872","doi":"10.1093/jcag/gwab049.002","title":"A3 TARGETING PROLINE METABOLISM TO OVERCOME TREATMENT RESISTANCE IN ESOPHAGEAL CANCER","year":2022,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Université de Sherbrooke","funders":"","keywords":"Radioresistance; Cancer stem cell; Esophageal cancer; Cancer research; Warburg effect; Radiation therapy; Cancer; Cell; Cell culture; Cancer cell; Flow cytometry; Biology; Stem cell; Glycolysis; Medicine; Metabolism; Internal medicine; Immunology; Biochemistry; Cell biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001394898,0.0003519527,0.0005280753,0.0003466163,0.0001933643,0.0004496828,0.0002194575,0.0003217827,0.001641523],"category_scores_gemma":[0.00009613513,0.0001247387,0.0004886437,0.000297542,0.0001192517,0.000193489,0.0002418449,0.0006403616,0.00043304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215749,"about_ca_system_score_gemma":0.0002510858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004880427,"about_ca_topic_score_gemma":0.0008884561,"domain_scores_codex":[0.9998977,0.00001514543,0.00001198813,0.0000229188,0.00002539785,0.00002680192],"domain_scores_gemma":[0.9999416,0.00000715192,0.00001560192,0.000007665629,0.00001305547,0.00001483643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002564475,0.0001087076,0.0003866251,0.0001337494,0.00002530414,0.00005819643,0.00001135714,0.0002010553,0.9936513,0.00005990423,0.0001673445,0.004939888],"study_design_scores_gemma":[0.00009862884,0.002480463,0.00908921,0.00002914071,0.0001354601,0.0004821622,0.00007385677,0.003005286,0.9740351,0.0001435039,0.01041048,0.00001667971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855493,0.006369635,0.004075468,0.0003041906,0.0001233343,0.0001217346,0.001272007,0.0003067051,0.001877523],"genre_scores_gemma":[0.9886385,0.002959552,0.004134252,0.0002109759,0.00001883376,0.0001041234,0.001577131,0.00004015405,0.002316586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001641523,"threshold_uncertainty_score":0.005491376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006113750563165907,"score_gpt":0.2317122212821513,"score_spread":0.2255984707189854,"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."}}