{"id":"W4386377401","doi":"10.20944/preprints202308.2001.v2","title":"Cancer Metabolism as a Therapeutic Target and Review of Interventions","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Warburg effect; Cancer; Anaerobic glycolysis; Cancer cell; Psychological intervention; Glycolysis; Anaerobic exercise; Reprogramming; Cell metabolism; Cancer treatment; Medicine; Cancer research; Metabolism; Bioinformatics; Biology; Cell; Internal medicine; Physiology; Biochemistry","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":[0.0008928087,0.000720475,0.001158638,0.002131752,0.0003063161,0.001484095,0.0007494258,0.00164665,0.009619078],"category_scores_gemma":[0.002853226,0.0002738702,0.0008706677,0.001507421,0.0005559249,0.001107976,0.0008624849,0.00212807,0.003510941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009992993,"about_ca_system_score_gemma":0.001593827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008355678,"about_ca_topic_score_gemma":0.001060116,"domain_scores_codex":[0.9995518,0.0001260766,0.00006087464,0.00008737172,0.000134756,0.00003903069],"domain_scores_gemma":[0.9988881,0.0007603781,0.00008954801,0.00004004342,0.0001667536,0.00005526176],"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":[0.0002009912,0.0000986291,0.0001427965,0.03174939,0.0001830367,0.0001483892,0.0001019241,0.0006697804,0.001018723,0.0181899,0.08724126,0.8602552],"study_design_scores_gemma":[0.00002215383,0.00007179408,0.0005604368,0.01300046,0.0001649606,0.0004257167,0.0000530291,0.0001281787,0.0003754346,0.008580488,0.9765999,0.00001755799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001353348,0.9943817,0.0003732337,0.001700795,0.001217036,0.00001079978,0.00008338588,0.00002558649,0.002072169],"genre_scores_gemma":[0.00127688,0.9944376,0.0005105581,0.0009958805,0.001173499,0.0000281754,0.0001220399,0.00001515608,0.001440167],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009619078,"threshold_uncertainty_score":0.03217906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12397029339527,"score_gpt":0.3992924334415116,"score_spread":0.2753221400462415,"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."}}