{"id":"W2088739242","doi":"10.1371/journal.pgen.1000379","title":"Steroid Hormone Control of Cell Death and Cell Survival: Molecular Insights Using RNAi","year":2009,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Ecdysone; Biology; Ecdysone receptor; Programmed cell death; RNA interference; Cell biology; Cell; Apoptosis; Gene; Genetics; Transcription factor; Nuclear receptor; RNA","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005994379,0.0001417923,0.0002458899,0.00007964874,0.00009042183,0.00001263722,0.0002260345,0.0001070174,0.000005570738],"category_scores_gemma":[0.00004587818,0.000126979,0.00004026996,0.000123344,0.0001779018,0.00003953053,0.00006364541,0.0002024129,0.00000736103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007413109,"about_ca_system_score_gemma":0.00003430649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001171025,"about_ca_topic_score_gemma":2.673905e-7,"domain_scores_codex":[0.9986996,0.0003189819,0.0002056225,0.0003354945,0.0001544465,0.0002858369],"domain_scores_gemma":[0.9993377,0.0001634079,0.0000888326,0.0002737657,0.00005078118,0.00008554124],"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":[0.00007319607,0.0002073651,0.0003014704,0.00001494187,0.000003688554,0.00002047208,0.00006864179,0.0001214747,0.999061,0.0001018595,0.000004135502,0.00002171562],"study_design_scores_gemma":[0.0008175906,0.0007732537,0.001605218,0.000004154374,0.0000199785,0.000004719958,0.000005372289,0.004963866,0.9907136,0.0009601459,0.00001545322,0.000116625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976084,0.0009554048,0.0001966061,0.00003674237,0.0000478059,0.000224431,0.00001089236,0.00001865117,0.0009010842],"genre_scores_gemma":[0.9988102,0.0004196557,0.0001497206,0.0005459035,0.00002455947,0.000001937307,9.883101e-7,0.00001399853,0.00003297653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008347416,"threshold_uncertainty_score":0.5178054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0430492240827823,"score_gpt":0.2713403369915257,"score_spread":0.2282911129087433,"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."}}