{"id":"W4207059954","doi":"10.3390/cancers14030539","title":"Multifaceted Interplay between Hormones, Growth Factors and Hypoxia in the Tumor Microenvironment","year":2022,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Fondazione Italiana per la Ricerca sul Cancro; Università della Calabria; Associazione Italiana per la Ricerca sul Cancro","keywords":"Tumor microenvironment; Cellular adaptation; Hypoxia (environmental); Tumor progression; Hormone; Signal transduction; Biology; Immune system; Cell signaling; Cancer research; Cancer cell; Tumor hypoxia; Receptor; Cell biology; Cancer; Immunology; Chemistry; Medicine; Internal medicine; Endocrinology; Biochemistry; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002193261,0.0004274617,0.0008021086,0.00008983263,0.00009750939,0.00003091319,0.0004759786,0.0001690271,0.00005229436],"category_scores_gemma":[0.0000439622,0.0003025141,0.0002700379,0.0001484177,0.0001395438,0.00000333004,0.0002381424,0.0003995938,0.000003145398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897149,"about_ca_system_score_gemma":0.000382694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004204545,"about_ca_topic_score_gemma":0.00009602201,"domain_scores_codex":[0.9983053,0.0002182274,0.0003696505,0.0005902995,0.0001702839,0.0003463012],"domain_scores_gemma":[0.9992064,0.00005431986,0.0002146724,0.0004286435,0.000007018985,0.00008897427],"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":[0.00004161475,0.00003523402,0.0005994765,0.002947187,0.0005585294,0.00001279844,0.0008438361,0.000006485775,0.001108497,0.00000985894,0.01519138,0.9786451],"study_design_scores_gemma":[0.000277549,0.00007873073,0.0004748917,0.0002052289,0.000291204,0.00001687147,0.000240088,3.545467e-7,0.00009397134,0.000002273764,0.9979767,0.000342157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01571799,0.9824042,0.000006206199,0.00001147821,0.0006537433,0.0006954659,0.0003778409,0.000006552712,0.000126572],"genre_scores_gemma":[0.002300606,0.9955984,0.00002353599,0.0001491405,0.0007112615,0.0002910538,0.000722896,0.00005635347,0.0001467226],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9827853,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447610242233422,"score_gpt":0.288181588428041,"score_spread":0.2637054860057068,"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."}}