{"id":"W2736052705","doi":"10.1002/jcp.26097","title":"The xenoestrogens biphenol‐A and nonylphenol differentially regulate metalloprotease‐mediated shedding of EGFR ligands","year":2017,"lang":"en","type":"article","venue":"Journal of Cellular Physiology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; National Institutes of Health; National Institute of General Medical Sciences; NIH Office of the Director; Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu","keywords":"Chemistry; Nonylphenol; Metalloproteinase; ADAM10; Cell biology; Epidermal growth factor; Disintegrin; Receptor; Biology; Matrix metalloproteinase; Biochemistry","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":[0.000378048,0.0001451935,0.0003640124,0.00002435495,0.0003633416,0.00004628764,0.0005518858,0.00006306954,0.00008518331],"category_scores_gemma":[0.0003068365,0.00008210479,0.0001566431,0.0000338184,0.0006140403,0.0001324138,0.0003130368,0.0002129205,0.000006909736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002122978,"about_ca_system_score_gemma":0.00001235526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005395693,"about_ca_topic_score_gemma":0.000006823634,"domain_scores_codex":[0.9988867,0.00005915081,0.0004171134,0.0001581252,0.0002175807,0.0002613492],"domain_scores_gemma":[0.9983548,0.0001985851,0.0009298233,0.0003718053,0.00003510866,0.0001098932],"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":[0.00007466285,0.00005230172,0.002259112,0.00001391376,0.00008619567,0.00001516148,0.00006204059,0.00005753784,0.9953915,0.00008403236,0.00009414859,0.001809325],"study_design_scores_gemma":[0.001132346,0.0004108908,0.08673425,0.00006305438,0.0001471818,0.00005561786,0.00006574606,0.0007140674,0.9044708,0.003767636,0.002237757,0.0002006385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987051,0.0004030843,0.00004739665,0.0002841858,0.0001715957,0.00009200646,0.000003044835,0.000004424207,0.0002891585],"genre_scores_gemma":[0.9990377,0.0003723241,0.0003079643,0.00001863485,0.0001277055,0.000001578062,0.000001633946,0.00001346529,0.0001190065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09092075,"threshold_uncertainty_score":0.3348137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006716816656948389,"score_gpt":0.2800895827015502,"score_spread":0.2733727660446018,"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."}}