{"id":"W2071390331","doi":"10.4161/cbt.8.4.7522","title":"Lung cancer: Developmental networks gone awry?","year":2009,"lang":"en","type":"review","venue":"Cancer Biology & Therapy","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute","keywords":"Carcinogenesis; Lung cancer; Biology; Lung; Phenotype; Organogenesis; Stem cell biology; Cancer; Small Cell Lung Carcinoma; Developmental biology; Bioinformatics; Computational biology; Cancer research; Genetics; Pathology; Carcinoma; Medicine; Gene; Embryogenesis; Internal medicine; Small-cell carcinoma","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004051362,0.0006844299,0.002610468,0.0003157337,0.0001807037,0.00001683871,0.0004987291,0.001087422,0.001604091],"category_scores_gemma":[0.00002556469,0.000492064,0.0004265971,0.0006877561,0.0002882581,0.0000554058,0.00008640489,0.001580977,0.00005173732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147315,"about_ca_system_score_gemma":0.005508552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001190172,"about_ca_topic_score_gemma":0.00003391436,"domain_scores_codex":[0.9964752,0.0003762547,0.0008408332,0.0009364474,0.000243084,0.001128245],"domain_scores_gemma":[0.9983177,0.0002179568,0.0003422174,0.0005087764,0.0001186309,0.0004947056],"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":[0.0003037815,0.00005186231,0.0002141922,0.003998031,0.0005843603,0.00005325543,0.00002108167,5.772135e-7,0.00001105755,0.00004610679,0.002035666,0.99268],"study_design_scores_gemma":[0.001119383,0.0003275847,0.000116928,0.007297635,0.0001860201,0.0000596858,0.000003290234,0.000008674005,0.000007378977,0.000005549979,0.9904637,0.0004041148],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006246903,0.9951316,0.00003442377,0.0004501792,0.0009356384,0.002694063,0.0001058313,0.0001087911,0.0004770056],"genre_scores_gemma":[0.000007515665,0.9886807,0.0001191014,0.005472248,0.002069967,0.001767369,0.0002751219,0.000120125,0.001487905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9922759,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134694404439783,"score_gpt":0.4993288482800681,"score_spread":0.3646344438402851,"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."}}