{"id":"W4234815118","doi":"10.1515/iupac.78.0160","title":"Bacteriostatic Agent","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; Relation (database); Computer science; Chemical nomenclature; Pesticide; Management science; Data science; Ecology; Chemistry; Engineering; Biology; Data mining; 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":[0.000852487,0.001481507,0.001845684,0.004116053,0.0006706163,0.002056084,0.001957816,0.001588807,0.08414091],"category_scores_gemma":[0.007276739,0.000463584,0.001445396,0.006522595,0.0003364231,0.001652053,0.00115742,0.001662701,0.0564435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149879,"about_ca_system_score_gemma":0.002518415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01609834,"about_ca_topic_score_gemma":0.02837824,"domain_scores_codex":[0.9987393,0.0001600109,0.0003320528,0.0003675834,0.0002893565,0.0001118037],"domain_scores_gemma":[0.9964249,0.001082984,0.0009101507,0.000565285,0.0008164368,0.0002003481],"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":[0.0003121791,0.00004584321,0.003081613,0.005212733,0.00007927828,0.0000590254,0.0000309007,0.0002274539,0.00034826,0.0007894579,0.9782134,0.01159999],"study_design_scores_gemma":[0.0002344793,0.00003700072,0.008915512,0.001629998,0.00008287409,0.0001617507,0.00005800499,0.0001438976,0.0003160745,0.0009719688,0.9874184,0.00003007102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001654588,0.0004739509,0.00005206998,0.00005893402,0.00002209891,0.00002336693,0.9980468,0.00007978108,0.001077508],"genre_scores_gemma":[0.0007145162,0.0005844132,0.0003219846,0.0001644445,0.00001353021,0.0001333469,0.9969751,0.00003333504,0.001059403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08414091,"threshold_uncertainty_score":0.2814794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215247980843751,"score_gpt":0.3476097519708907,"score_spread":0.3354572721624531,"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."}}