{"id":"W2759882109","doi":"10.1016/j.bbcan.2017.09.004","title":"Cancer as an ecomolecular disease and a neoplastic consortium","year":2017,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - Reviews on Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Tumor microenvironment; Epigenetics; Disease; Cancer; Context (archaeology); Biology; Stromal cell; Tumor progression; Cancer cell; Computational biology; Bioinformatics; Cancer research; Genetics; Medicine; Gene; Pathology","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":[0.0002743303,0.001219776,0.002351585,0.0001358675,0.0002979506,0.0003232002,0.0009972538,0.0004828314,0.00008751679],"category_scores_gemma":[0.0003299393,0.001015968,0.0009555981,0.0001456437,0.0003617029,0.00001784317,0.0004563103,0.0004852435,0.000088915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455749,"about_ca_system_score_gemma":0.001839949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002126146,"about_ca_topic_score_gemma":0.0001786743,"domain_scores_codex":[0.9959135,0.0003604497,0.0009536595,0.001813659,0.0002905091,0.0006682248],"domain_scores_gemma":[0.9955565,0.00008259355,0.001310814,0.002179308,0.0001190312,0.0007517451],"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":[0.0003525338,0.0006050894,0.000003402811,0.01798232,0.001411983,0.00006261797,0.00005706113,0.000004938035,0.008738203,0.0003581201,0.02470997,0.9457138],"study_design_scores_gemma":[0.0004071214,0.0003879611,0.00003386124,0.009816672,0.002146976,0.00001205988,0.000002034614,0.000006673058,0.001494106,0.00004372098,0.9844173,0.001231539],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009039995,0.9851667,0.000005280344,0.0003827155,0.0008704154,0.002083189,0.002157699,0.00002626498,0.0002677042],"genre_scores_gemma":[0.001295891,0.9912955,0.00005495301,0.001889851,0.001678907,0.001868,0.001111373,0.0002229466,0.0005825618],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9597073,"threshold_uncertainty_score":0.9992291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0632788237426245,"score_gpt":0.3916776726108271,"score_spread":0.3283988488682026,"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."}}