{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005115207,0.0006231106,0.001354842,0.00124671,0.0003807286,0.00122218,0.0008656923,0.001311837,0.002302503],"category_scores_gemma":[0.000590339,0.0002503378,0.0002976464,0.001309578,0.000979034,0.002209133,0.0006424155,0.001753774,0.001721999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178298,"about_ca_system_score_gemma":0.00125118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988366,"about_ca_topic_score_gemma":0.003244272,"domain_scores_codex":[0.9998471,0.00003634741,0.00001694317,0.00002977541,0.00005326447,0.00001654169],"domain_scores_gemma":[0.9997482,0.0001109638,0.00002683579,0.00001078357,0.00007190799,0.00003136689],"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":[0.00004823258,0.00001959585,0.0003934598,0.004725738,0.00005478158,0.0003786586,0.0001160335,0.0005096181,0.002893539,0.01370859,0.03339943,0.9437522],"study_design_scores_gemma":[0.000009819196,0.00004474953,0.001219768,0.001766833,0.00005115882,0.001775606,0.0002472809,0.0001265426,0.0007371407,0.01166119,0.982339,0.00002092011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001664724,0.9965714,0.0003216244,0.001470614,0.0002421757,0.000001964956,0.00001243052,0.00001381051,0.001199472],"genre_scores_gemma":[0.00116236,0.99729,0.0002553872,0.0003627678,0.0002029651,0.000003444312,0.00001734005,0.00000152959,0.000704247],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002302503,"threshold_uncertainty_score":0.008549154,"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."}}