{"id":"W4256573110","doi":"10.1515/iupac.81.0443","title":"Hazard Quotient (HQ)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Hazard quotient; Hazard; Hazard analysis; Ecology; Computer science; Risk assessment; Biology; Engineering; 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":[0.001569229,0.002080527,0.001773451,0.00565707,0.0004906123,0.002580082,0.002496355,0.001420684,0.05481301],"category_scores_gemma":[0.01193879,0.0004318673,0.001982528,0.006451845,0.0003979311,0.002332728,0.001782854,0.001915684,0.05560317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742863,"about_ca_system_score_gemma":0.00158275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905668,"about_ca_topic_score_gemma":0.02125688,"domain_scores_codex":[0.9978745,0.0002661105,0.0004128663,0.0006892158,0.0005970431,0.0001602807],"domain_scores_gemma":[0.9953382,0.001681013,0.0007854194,0.0008175704,0.001202851,0.0001749719],"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":[0.000291002,0.00008154137,0.01622882,0.002968951,0.0002565584,0.00006159076,0.00004911109,0.00175468,0.000288632,0.001586423,0.9563833,0.02004938],"study_design_scores_gemma":[0.0003302836,0.00009919616,0.03089469,0.0007260115,0.0001560552,0.00028923,0.0001798941,0.001830896,0.0008146475,0.005272398,0.9593011,0.0001056323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004987025,0.0002565845,0.0001538612,0.00006473924,0.00003506397,0.00001566327,0.9978095,0.0002700598,0.0008959112],"genre_scores_gemma":[0.002567578,0.0002706882,0.0005584792,0.00008764908,0.00001618683,0.00008401107,0.9952615,0.00006370006,0.001090246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05481301,"threshold_uncertainty_score":0.1833677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005962210044292105,"score_gpt":0.3175880453234503,"score_spread":0.3116258352791582,"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."}}