{"id":"W42405002","doi":"10.1016/j.reprotox.2009.11.007","title":"Risk to all or none?","year":2009,"lang":"en","type":"article","venue":"Reproductive Toxicology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":150,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Health Canada; Svenska Forskningsrådet Formas","keywords":"Risk assessment; Environmental health; Population; Endocrine disruptor; Transparency (behavior); Medicine; Identification (biology); Risk analysis (engineering); Endocrine system; Computer science; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003189615,0.0001401337,0.0001946514,0.00002865078,0.00008209312,0.00001048924,0.0002228351,0.00005662718,0.001453627],"category_scores_gemma":[0.001080832,0.00009866744,0.00004947202,0.0002042816,0.00009167741,0.00007544587,0.0001335456,0.0001666557,0.001447452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080903,"about_ca_system_score_gemma":0.000006455081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001062419,"about_ca_topic_score_gemma":0.00004406813,"domain_scores_codex":[0.9985123,0.00008423768,0.0001628476,0.0007236216,0.0001325436,0.0003845006],"domain_scores_gemma":[0.9991766,0.00009878095,0.0000708569,0.0005027176,0.00001055973,0.0001405231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003862981,0.0006430484,0.01894453,0.000003593728,0.00003625305,0.00009926112,0.0007834474,0.001447658,0.8056999,0.0002071459,0.1035134,0.06823546],"study_design_scores_gemma":[0.0007365106,0.002892186,0.376652,0.000009571102,0.0000643991,0.0001622415,0.00009223534,0.00006472444,0.3219564,0.004698584,0.292029,0.0006421351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779115,0.00002366929,0.00007653789,0.00647842,0.000151006,0.0003399935,0.000004065356,0.00008034682,0.0149345],"genre_scores_gemma":[0.9877819,0.00003372065,0.005433547,0.002670816,0.0002658431,0.00001938212,0.000002538253,0.00001173566,0.003780553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4837435,"threshold_uncertainty_score":0.9994592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557344055056059,"score_gpt":0.3632686649268656,"score_spread":0.347695224376305,"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."}}