{"id":"W4392457373","doi":"10.5864/d2024-005","title":"Relevant research article summaries","year":2024,"lang":"en","type":"article","venue":"Environmental Health Review","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001784535,0.0001524962,0.0002480994,0.00002560159,0.0002592052,0.00004336847,0.0002152455,0.00003204699,0.00588247],"category_scores_gemma":[0.00007433122,0.0001132618,0.000097481,0.0002669355,0.0003389765,0.0001672227,0.0003057812,0.000418997,0.01106779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004601651,"about_ca_system_score_gemma":0.00001867417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000187498,"about_ca_topic_score_gemma":0.00001530114,"domain_scores_codex":[0.997679,0.0002628054,0.0003771312,0.0004765139,0.0005778471,0.0006267132],"domain_scores_gemma":[0.9990866,0.0002607174,0.00003721067,0.0003531095,0.000001044337,0.0002613022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000794573,0.0002353558,0.005193734,0.004677056,0.00001822706,0.0001035142,0.0002935086,0.000009654812,0.005723433,0.0005585357,0.4339176,0.5492615],"study_design_scores_gemma":[0.00006981841,0.0001190191,0.003520377,0.002394499,0.000009763769,0.00003724085,0.00003275494,0.000144247,0.0007586996,0.0005536807,0.9922004,0.0001594488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1912287,0.7662778,0.0000218319,0.02673736,0.0003339379,0.001616491,0.00005107544,0.0002364055,0.01349637],"genre_scores_gemma":[0.5483916,0.4414248,0.0009540449,0.004709495,0.0001516745,0.0001442243,0.00005790239,0.00006003841,0.004106193],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5582829,"threshold_uncertainty_score":0.9950263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106963023757043,"score_gpt":0.4571128935393086,"score_spread":0.4160432633017382,"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."}}