{"id":"W2994126611","doi":"10.14740/gr1145","title":"Glucose Metabolic Reprogramming and Cell Proliferation Arrest in Colorectal Micropapillary Carcinoma","year":2019,"lang":"en","type":"article","venue":"Gastroenterology Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Medicine; Reprogramming; Cancer research; Cell growth; Colorectal cancer; Cell biology; Internal medicine; Cell; Biology; Cancer; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005040126,0.0001366005,0.0001216556,0.000235357,0.0001645062,0.0001348233,0.00008870415,0.0001614723,0.0009031525],"category_scores_gemma":[0.00005375494,0.00005566983,0.0001368137,0.0002077707,0.0001052179,0.00008683171,0.0001219123,0.0002247573,0.0001688294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618397,"about_ca_system_score_gemma":0.0001290483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520621,"about_ca_topic_score_gemma":0.001969798,"domain_scores_codex":[0.9999589,0.000005033719,0.00000353391,0.000008032192,0.00001317188,0.00001136749],"domain_scores_gemma":[0.999961,0.000008746447,0.00001150298,0.000004149282,0.000004515865,0.00001007901],"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":[0.0001792648,0.00003051408,0.002032322,0.00006664145,0.000005374075,0.0002657391,0.00001959205,0.0001182496,0.994881,0.00006508715,0.0000900527,0.002246106],"study_design_scores_gemma":[0.00001089678,0.0005708205,0.08317518,0.0000073673,0.00002383879,0.001234869,0.00008044487,0.001151141,0.9101797,0.00006182144,0.003496468,0.000007341222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948455,0.002049778,0.001249589,0.00006940445,0.00002205239,0.00002003959,0.000462105,0.00005886837,0.001222679],"genre_scores_gemma":[0.9970277,0.0007179443,0.0008147472,0.00004037451,0.000006205618,0.00002662215,0.0004250778,0.000005338966,0.0009361425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001520621,"threshold_uncertainty_score":0.003023565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307303208365852,"score_gpt":0.2766682924267297,"score_spread":0.2635952603430712,"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."}}