{"id":"W4240679766","doi":"10.1515/iupac.81.0609","title":"Monitoring","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","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; 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":[0.001332427,0.001721326,0.001093879,0.003029041,0.0008153388,0.002346101,0.002675573,0.001948908,0.06509986],"category_scores_gemma":[0.008848472,0.0004260433,0.001338143,0.005236775,0.0003091717,0.002708359,0.00175534,0.001806011,0.07568523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170635,"about_ca_system_score_gemma":0.002134502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02975888,"about_ca_topic_score_gemma":0.05223842,"domain_scores_codex":[0.9977496,0.0003722105,0.0002932683,0.0008181927,0.0005185122,0.000248209],"domain_scores_gemma":[0.9962393,0.0008949438,0.0005881113,0.000905459,0.001114568,0.0002576582],"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":[0.0001349703,0.00003529937,0.007714523,0.0009381642,0.00005332614,0.00004768759,0.00003124045,0.000545574,0.0001355982,0.001689833,0.9726211,0.01605262],"study_design_scores_gemma":[0.00008705086,0.00001842673,0.01062376,0.0004958578,0.00003990522,0.0001157399,0.0001063481,0.0009014594,0.0003584252,0.002112935,0.985109,0.00003099347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005891809,0.0003157854,0.0003127654,0.0002563855,0.00007377848,0.00003221622,0.9920344,0.0005163825,0.005869133],"genre_scores_gemma":[0.001717546,0.0002427857,0.0007924116,0.0002070924,0.00002110013,0.00007845941,0.9940984,0.0000713632,0.002770775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06509986,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268850823142849,"score_gpt":0.3701558100776754,"score_spread":0.3574673018462469,"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."}}