{"id":"W1963706142","doi":"10.1165/rcmb.2006-0056oc","title":"Identification of Novel Lung Genes in Bronchial Epithelium by Serial Analysis of Gene Expression","year":2006,"lang":"en","type":"article","venue":"American Journal of Respiratory Cell and Molecular Biology","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Princess Margaret Cancer Centre; University of British Columbia","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"Gene; Identification (biology); Gene expression; Biology; Serial analysis of gene expression; Epithelium; Lung; Computational biology; Gene expression profiling; Pathology; Genetics; Medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0007525426,0.0001198119,0.0006814162,0.00075808,0.00002178552,0.000003739653,0.000131236,0.00008776662,0.00001119699],"category_scores_gemma":[0.00008361234,0.00009899957,0.0001550216,0.000674844,0.0004012768,0.00003622031,0.0000356624,0.0001862079,2.04418e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004590843,"about_ca_system_score_gemma":0.0002548149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001764816,"about_ca_topic_score_gemma":0.00000892412,"domain_scores_codex":[0.9980671,0.0002789184,0.0009749172,0.000205357,0.0002597179,0.0002139227],"domain_scores_gemma":[0.998351,0.00008564124,0.0009687554,0.0002072191,0.000274755,0.0001125658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008004708,0.0002267949,0.02467095,0.00008002186,0.00009767804,0.00002104917,0.00003135208,0.0001265653,0.9624953,0.00001589286,0.0000190951,0.01141488],"study_design_scores_gemma":[0.001714995,0.00138346,0.01334991,0.00002775366,0.0002130446,0.00001035916,0.000069015,0.0001149641,0.9810076,0.000007824827,0.002021112,0.00007997249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773065,0.01212975,0.01024721,0.00005294201,0.00005381672,0.0001408043,0.00004218801,0.000002082817,0.00002473554],"genre_scores_gemma":[0.9984987,0.000228443,0.001001281,0.0001792539,0.0000546807,0.000003534591,0.00001200721,0.00001263879,0.000009405373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02119229,"threshold_uncertainty_score":0.4037085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120358928906864,"score_gpt":0.3256590914452072,"score_spread":0.3144555021561386,"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."}}