{"id":"W4249965945","doi":"10.1515/iupac.78.0123","title":"Active Transport","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 Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Pesticide; Computer science; Management science; Data science; Ecology; Chemistry; Engineering; Biology; Data mining","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":[0.0007133839,0.002256093,0.001369284,0.004776861,0.001011848,0.003008733,0.003081261,0.00196495,0.1139859],"category_scores_gemma":[0.005192542,0.0006550402,0.001764018,0.009741572,0.0003513158,0.002784422,0.001775632,0.001984912,0.138416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002213292,"about_ca_system_score_gemma":0.003185889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03918446,"about_ca_topic_score_gemma":0.06162177,"domain_scores_codex":[0.999003,0.0001416475,0.0001780652,0.0003178672,0.0002384178,0.000121052],"domain_scores_gemma":[0.9979626,0.0005525979,0.0002817499,0.0004483353,0.0006032217,0.0001514741],"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":[0.00004915093,0.00001178051,0.000788277,0.00111167,0.00002809561,0.00002325776,0.00002464593,0.0003890166,0.0001026942,0.001225814,0.9925051,0.003740659],"study_design_scores_gemma":[0.00006001399,0.000006238269,0.001467522,0.0004641975,0.00002097684,0.00003739964,0.00004383617,0.0002361117,0.0001276227,0.001370516,0.9961491,0.00001651651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004290687,0.0000918357,0.00006333773,0.00004132437,0.00001351521,0.00000559834,0.9986867,0.0001741046,0.0008805871],"genre_scores_gemma":[0.0002231945,0.0001437858,0.0002215533,0.00004743953,0.000004517493,0.00003421324,0.9985992,0.00005613044,0.0006699847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1139859,"threshold_uncertainty_score":0.3813209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040614062681974,"score_gpt":0.3427675456792436,"score_spread":0.3323614050524238,"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."}}