{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467567,0.0005198414,0.0002751579,0.0002554096,0.0001636422,0.0003432534,0.0003258155,0.0002456907,0.0007109166],"category_scores_gemma":[0.00007783577,0.0001548728,0.0002589078,0.0001129008,0.0003225792,0.0002866354,0.0002457209,0.0005076225,0.0002446815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005607369,"about_ca_system_score_gemma":0.000198645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007777313,"about_ca_topic_score_gemma":0.001631164,"domain_scores_codex":[0.9998844,0.00001063959,0.00001353679,0.00003380428,0.00004124951,0.00001629387],"domain_scores_gemma":[0.9999355,0.00001131957,0.00002137428,0.000007788377,0.00001039256,0.00001361875],"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":[0.00001751785,0.000005082321,0.0001189097,0.0000304333,0.000002435338,0.00002357946,0.000005505896,0.00002300084,0.9985245,0.00009652386,0.00001171267,0.001140908],"study_design_scores_gemma":[0.00001289606,0.0000938345,0.006385451,0.00000951394,0.00002867347,0.0002279229,0.00002136869,0.001196148,0.9881077,0.00006496199,0.003846249,0.000005320757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647848,0.008165412,0.02072198,0.0003641957,0.00006360935,0.00009907241,0.001282784,0.0003804186,0.004137786],"genre_scores_gemma":[0.9755307,0.005592382,0.01354944,0.0001419402,0.00001832377,0.0001110777,0.000995583,0.00006351943,0.003996927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007777313,"threshold_uncertainty_score":0.004068434,"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."}}