{"id":"W4242532515","doi":"10.1515/iupac.81.0231","title":"Defoliant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Environmental chemistry; Computer science; Risk assessment; Chemistry; 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":[0.001081702,0.001920914,0.001313038,0.003837991,0.0009032264,0.003354971,0.002597886,0.001849678,0.1453804],"category_scores_gemma":[0.006781821,0.0005836686,0.00144245,0.006516684,0.0005052253,0.002599966,0.003155118,0.001910054,0.2605332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370949,"about_ca_system_score_gemma":0.002126817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439727,"about_ca_topic_score_gemma":0.03848717,"domain_scores_codex":[0.9985052,0.0002599623,0.0001702306,0.0005097198,0.0003237428,0.0002311231],"domain_scores_gemma":[0.9980566,0.0004131819,0.0002353199,0.0005862156,0.0004749361,0.0002336969],"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":[0.0000412767,0.000009609755,0.0005902637,0.000511317,0.00001273639,0.00001424924,0.00002042632,0.0001018341,0.00005916258,0.000489886,0.9952304,0.002918859],"study_design_scores_gemma":[0.00006679841,0.000008169561,0.001384052,0.0002611032,0.000008327776,0.00004273475,0.0000490903,0.0001576729,0.0001222123,0.0009802094,0.9969084,0.00001128784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009027245,0.0001217594,0.00007827114,0.0001021661,0.00004325289,0.00001074275,0.9974172,0.0004693615,0.001666999],"genre_scores_gemma":[0.0002417378,0.0000918977,0.0002442807,0.0001017586,0.000009026875,0.00004577729,0.9979914,0.0001247826,0.001149415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1453804,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007416386552205002,"score_gpt":0.3400331540310443,"score_spread":0.3326167674788393,"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."}}