{"id":"W1989420021","doi":"10.1158/1538-7445.am2012-4912","title":"Abstract 4912: Systematic, comparative network analysis on non-small cell lung cancer","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; York University","funders":"","keywords":"Lung cancer; CXCL5; Cancer research; Biology; Cancer; Computational biology; Medicine; Immunology; Oncology; Chemokine; Genetics; Immune system","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":[0.001194617,0.0003606927,0.0003961367,0.004512476,0.0006356488,0.0003858941,0.0003952963,0.0002659652,0.001512853],"category_scores_gemma":[0.00434867,0.0001356133,0.001094581,0.003581156,0.0003297595,0.0004427759,0.0005197768,0.0002502483,0.0001622352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000887344,"about_ca_system_score_gemma":0.001156859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008073244,"about_ca_topic_score_gemma":0.01810536,"domain_scores_codex":[0.9990047,0.0004493296,0.00005067341,0.0002845562,0.0001460376,0.00006479194],"domain_scores_gemma":[0.9974909,0.001535015,0.0002436749,0.0002467773,0.0004086534,0.00007496103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001571064,0.0005518976,0.3926814,0.007029403,0.004381375,0.001939029,0.001697817,0.1506626,0.06492147,0.01285152,0.01991721,0.3417953],"study_design_scores_gemma":[0.0001686635,0.001167238,0.5295321,0.0004141979,0.002465465,0.001522178,0.001561347,0.3845337,0.01976478,0.02340681,0.03536535,0.00009816797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997521,0.004114059,0.06502988,0.0003591458,0.0000573797,0.0003654248,0.02655819,0.0009334849,0.002830239],"genre_scores_gemma":[0.9100158,0.001124922,0.04818296,0.0000641324,0.00002456561,0.0002835892,0.03951601,0.00006524518,0.0007228008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008073244,"threshold_uncertainty_score":0.01605248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751171422172044,"score_gpt":0.3708109097992095,"score_spread":0.323299195577489,"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."}}