{"id":"W2171507390","doi":"10.1038/nbt1305","title":"Genome-scale analysis of in vivo spatiotemporal promoter activity in Caenorhabditis elegans","year":2007,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":289,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; National Human Genome Research Institute","keywords":"Caenorhabditis elegans; Biology; Interactome; Gene; Computational biology; Promoter; Gene expression profiling; Gene expression; Regulation of gene expression; Genetics; Green fluorescent protein","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004172545,0.0001914653,0.0003847024,0.0008227551,0.0000236302,0.000006091069,0.0003304769,0.001826179,0.00002873883],"category_scores_gemma":[0.00006562185,0.000202293,0.0001197042,0.0009917044,0.0001799201,0.000004602807,0.0001375171,0.0006272758,0.000001336974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000556022,"about_ca_system_score_gemma":0.00005346228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003757546,"about_ca_topic_score_gemma":0.02389207,"domain_scores_codex":[0.9985831,0.00004445932,0.0003265842,0.0005114784,0.0001406135,0.0003937185],"domain_scores_gemma":[0.9991864,0.00001192842,0.0001433086,0.0005559677,0.00005734762,0.00004504511],"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":[0.00006049977,0.0001712788,0.07607,0.0000157499,0.0001029921,0.00001629831,0.0001595066,0.0001288697,0.921638,0.00004932699,0.00002047258,0.001566996],"study_design_scores_gemma":[0.000319978,0.0001566781,0.2582527,0.000004213734,0.00004960136,0.000004344326,0.00004248594,0.0001157813,0.7382229,0.00005527824,0.002608252,0.0001677549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932199,0.0005407603,0.005117935,0.0005337723,0.0001141585,0.0002170602,0.00004657457,0.00002064838,0.0001892673],"genre_scores_gemma":[0.9976926,0.0001430489,0.001827373,0.0001062146,0.00005490256,0.000005154729,0.00005758423,0.00001992705,0.00009312887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1834151,"threshold_uncertainty_score":0.9994696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004055791566420205,"score_gpt":0.2353865236285833,"score_spread":0.2313307320621631,"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."}}