{"id":"W2531327295","doi":"10.1021/acs.est.6b02029","title":"Identification of Thyroid Hormone Disruptors among HO-PBDEs: <i>In Vitro</i> Investigations and Coregulator Involved Simulations","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Collaborative Innovation Center for Regional Environmental Quality; Natural Science Foundation of Jiangsu Province; State Administration of Foreign Experts Affairs; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Canada Research Chairs; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Coactivator; Corepressor; Polybrominated diphenyl ethers; Transactivation; In silico; Thyroid hormone receptor; Chemistry; Receptor; Biology; Biochemistry; Nuclear receptor; Transcription factor; Gene","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":[0.0001509905,0.0005017959,0.0004668296,0.0001499089,0.0003263844,0.0002706479,0.0004849219,0.0004225411,0.002182134],"category_scores_gemma":[0.0002565467,0.0001814624,0.0004994355,0.0001780221,0.0001986078,0.0003729819,0.0002748034,0.0004902371,0.0002251238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004966893,"about_ca_system_score_gemma":0.0003888212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004011512,"about_ca_topic_score_gemma":0.003441507,"domain_scores_codex":[0.9999471,0.000007752208,0.00000213041,0.00001186883,0.00001400772,0.00001714503],"domain_scores_gemma":[0.9999155,0.00004103789,0.00001255984,0.000005773491,0.00001558203,0.000009612767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006794363,0.0004014987,0.005691574,0.0009769935,0.0001813836,0.0004960973,0.0001591374,0.7826715,0.1821949,0.006941303,0.001669289,0.01793695],"study_design_scores_gemma":[0.00008095253,0.0008671751,0.001657441,0.00003143881,0.00009503582,0.00007034835,0.0001264669,0.9114126,0.07927071,0.001539687,0.004820932,0.00002727572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783262,0.001365584,0.01219335,0.0002006262,0.00005059473,0.00003743451,0.0006176839,0.0001154344,0.007093079],"genre_scores_gemma":[0.9881107,0.001702651,0.007781614,0.00007938313,0.000009794485,0.0000976241,0.0007773581,0.00004539327,0.001395483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004011512,"threshold_uncertainty_score":0.007976353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005116443587344294,"score_gpt":0.2090926933214819,"score_spread":0.2039762497341376,"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."}}