{"id":"W1535796923","doi":"10.18174/199007","title":"Development and application of in vitro and in vivo reporter gene assays for the assessment of (xeno-)estrogenic compounds in the aquatic environment","year":2001,"lang":"en","type":"dissertation","venue":"","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Michigan State University; Stichting voor de Technische Wetenschappen; Rijksinstituut voor Volksgezondheid en Milieu; Natural Sciences and Engineering Research Council of Canada; College of Engineering, Michigan State University; Universiteit van Amsterdam","keywords":"Bioassay; Reporter gene; Luciferase; In vivo; In vitro; In vitro toxicology; Estrogen receptor; Xenobiotic; Biology; Estrogen; Endocrine system; Oryzias; Chemistry; Potency; EC50; Transfection; Pharmacology; Gene expression; Gene; Biochemistry; Hormone; Endocrinology; Biotechnology; Genetics; Cancer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000567656,0.001228587,0.0006320568,0.0008260199,0.0004292371,0.000876963,0.0006732235,0.0006565856,0.004965264],"category_scores_gemma":[0.0003542651,0.0008562967,0.0007990528,0.0006039931,0.0002675101,0.0004970659,0.0004353842,0.001533885,0.00248578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006196975,"about_ca_system_score_gemma":0.001002155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002632155,"about_ca_topic_score_gemma":0.007414014,"domain_scores_codex":[0.9993992,0.00007828447,0.00003787738,0.0001134902,0.0003173431,0.00005380084],"domain_scores_gemma":[0.999728,0.00007065704,0.00004707465,0.00003201697,0.000101774,0.00002042854],"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":[0.00003831581,0.00005886349,0.0002019108,0.000268029,0.00000862783,0.00006318901,0.00006525674,0.0002759535,0.975491,0.0007666214,0.00104007,0.02172235],"study_design_scores_gemma":[0.00001316151,0.0003027428,0.002501397,0.00006806235,0.00004965956,0.0003821478,0.00007712886,0.000540015,0.9518643,0.000275799,0.04390541,0.00002003785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1404499,0.04128319,0.7293688,0.001776266,0.0009166781,0.002187083,0.008769745,0.003310193,0.07193815],"genre_scores_gemma":[0.1435762,0.07953145,0.5579866,0.0006399834,0.000165298,0.002554909,0.01390993,0.0008213615,0.2008143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004965264,"threshold_uncertainty_score":0.0166105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012740894985065,"score_gpt":0.3218814291585291,"score_spread":0.3117540202086785,"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."}}