{"id":"W4244394427","doi":"10.1515/iupac.81.0867","title":"Stressor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Stressor; Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458658,0.001832357,0.001251383,0.003419186,0.001140705,0.002970654,0.002368097,0.00172054,0.1513626],"category_scores_gemma":[0.01052456,0.0006126708,0.001412477,0.005599069,0.0004446293,0.00300554,0.002990838,0.001999471,0.216273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351074,"about_ca_system_score_gemma":0.002175025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179949,"about_ca_topic_score_gemma":0.02802072,"domain_scores_codex":[0.9978727,0.0004088086,0.0002857468,0.000660825,0.0004720987,0.0002997339],"domain_scores_gemma":[0.9958926,0.0009474155,0.0004266539,0.001052229,0.00127539,0.0004056156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008059356,0.00001807124,0.001495098,0.0005148213,0.0000147976,0.00001701024,0.00003620307,0.0001075795,0.00008184431,0.0006342444,0.9916036,0.005396275],"study_design_scores_gemma":[0.00009172959,0.00002083434,0.003356462,0.0002974778,0.00001552748,0.0000613639,0.0001504626,0.0002005694,0.0002045122,0.00134099,0.9942352,0.00002496042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000274834,0.0001327082,0.0001282708,0.0002403509,0.00008775356,0.00002863252,0.996159,0.0004592368,0.00248923],"genre_scores_gemma":[0.0006587139,0.0001194426,0.0004452546,0.0002086781,0.00002631705,0.0001364879,0.9958585,0.000126886,0.002419739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1513626,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736717924544716,"score_gpt":0.4289397736769222,"score_spread":0.411572594431475,"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."}}