{"id":"W4388810374","doi":"10.14573/altex.2307061","title":"Beyond chemicals: Opportunities and challenges of integrating non-chemical stressors in adverse outcome pathways","year":2023,"lang":"en","type":"article","venue":"ALTEX","topic":"Vitamin C and Antioxidants Research","field":"Nursing","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Adverse Outcome Pathway; Stressor; Computer science; Risk analysis (engineering); Biochemical engineering; Computational biology; Biology; Medicine; Neuroscience","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":[0.0003746492,0.000121108,0.0002640731,0.0001848623,0.00003467757,0.00001050484,0.0001396162,0.00009234487,0.00002770611],"category_scores_gemma":[0.0002822427,0.0001078955,0.00004798976,0.000207824,0.0001531879,0.0001128058,0.0001215119,0.000216905,0.00001496816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347565,"about_ca_system_score_gemma":0.00001630668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006200701,"about_ca_topic_score_gemma":0.00003020847,"domain_scores_codex":[0.998865,0.0000460537,0.000319827,0.0002239404,0.0002289913,0.0003161562],"domain_scores_gemma":[0.9993582,0.0002925781,0.00006291474,0.0001611633,0.00004052937,0.00008461629],"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":[0.0002100652,0.0003223065,0.05241949,0.002337389,0.0000628535,0.0002562127,0.01407648,0.000008439894,0.5921292,0.008725542,0.001466977,0.3279851],"study_design_scores_gemma":[0.005038163,0.0006582671,0.1661294,0.002655052,0.0000668491,0.00004101256,0.1626134,0.01027165,0.6385564,0.009342571,0.003248774,0.001378397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918883,0.0005688209,0.000001027554,0.002046573,0.0000886825,0.0001083995,0.00002248454,0.00004479409,0.005230899],"genre_scores_gemma":[0.998328,0.001294894,0.0001186659,0.00004088826,0.00004905347,0.00001086919,0.00001284907,0.00001935842,0.0001254795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3266067,"threshold_uncertainty_score":0.4399849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311377057754742,"score_gpt":0.3394159406956655,"score_spread":0.2082782349201913,"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."}}