{"id":"W4250093196","doi":"10.1515/iupac.81.0059","title":"Ambient","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; Relation (database); Environmental risk assessment; Ecology; Computer science; Environmental science; Risk assessment; Biology; Data mining; Philosophy; Linguistics","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":[0.001164662,0.001576945,0.001163304,0.002755647,0.001078854,0.003728908,0.00234266,0.001695382,0.115362],"category_scores_gemma":[0.008760531,0.0005045381,0.001589709,0.005305605,0.0003940773,0.00274305,0.002461901,0.002031102,0.1462063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687176,"about_ca_system_score_gemma":0.002244433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312412,"about_ca_topic_score_gemma":0.03977662,"domain_scores_codex":[0.9975178,0.0003994592,0.0003081553,0.0008569308,0.0006183579,0.000299306],"domain_scores_gemma":[0.9968887,0.0006711914,0.0003541399,0.0008156671,0.00103216,0.0002382274],"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":[0.000106527,0.00002416581,0.002879502,0.0007603715,0.00003607012,0.00002993457,0.00003863752,0.0002139279,0.00008737961,0.001650279,0.9860334,0.008139787],"study_design_scores_gemma":[0.00006643236,0.00001146741,0.004964584,0.0003729691,0.00002045569,0.00007210999,0.0001142229,0.0002180309,0.0001747521,0.001572824,0.9923896,0.00002244922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003112346,0.0001880223,0.000185286,0.0001538487,0.00008289002,0.00002140246,0.9944082,0.0003595467,0.004289471],"genre_scores_gemma":[0.0008869849,0.0001416677,0.0004112486,0.0001680739,0.00001997982,0.00008118473,0.9958182,0.00008792741,0.002384769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115362,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00564130207272742,"score_gpt":0.3192929871227834,"score_spread":0.313651685050056,"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."}}