{"id":"W4237681822","doi":"10.1515/iupac.81.0947","title":"Waldsterben","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","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; Computer science; Ecology; Risk assessment; Biology; Data mining; 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":[0.0008817457,0.001998602,0.001617019,0.004184795,0.0009108767,0.004361933,0.002582704,0.001739093,0.1024588],"category_scores_gemma":[0.006144381,0.0006721138,0.00110605,0.007232774,0.0004493156,0.002537078,0.002688116,0.001907358,0.2026757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570943,"about_ca_system_score_gemma":0.002219336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239577,"about_ca_topic_score_gemma":0.04186325,"domain_scores_codex":[0.9987896,0.0001854084,0.0001340186,0.0004431055,0.0002802777,0.0001675017],"domain_scores_gemma":[0.9984043,0.0003979322,0.0002022334,0.000418424,0.0003918005,0.000185278],"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":[0.00007645693,0.00001486918,0.001104775,0.0006675036,0.00002602708,0.00002971876,0.00003010268,0.0002618711,0.00007062868,0.00115116,0.990739,0.005827867],"study_design_scores_gemma":[0.00009606215,0.000008684026,0.001966412,0.0004122276,0.00001397666,0.00005927746,0.00006013244,0.0003242716,0.0001693221,0.001873744,0.9949989,0.00001701914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001287711,0.000166815,0.0001029776,0.00009851905,0.0000266344,0.000007135736,0.9973068,0.0004167831,0.001745595],"genre_scores_gemma":[0.0002911583,0.0001399452,0.0002342539,0.00004744447,0.000006092807,0.00002968798,0.9981099,0.00008194011,0.001059511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1024588,"threshold_uncertainty_score":0.342759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103931184723282,"score_gpt":0.3517923829771552,"score_spread":0.3407530711299224,"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."}}