{"id":"W4236312618","doi":"10.1515/iupac.78.0539","title":"Respiration","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Chemical nomenclature; Computer science; Environmental chemistry; Ecology; Chemistry; 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":[0.001389408,0.001978325,0.001387861,0.00434014,0.000968679,0.003411324,0.002699154,0.001955977,0.1659764],"category_scores_gemma":[0.01137352,0.000587615,0.001584754,0.007018761,0.0004101279,0.003086858,0.002089189,0.001849726,0.1764063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138378,"about_ca_system_score_gemma":0.00325721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079524,"about_ca_topic_score_gemma":0.03735328,"domain_scores_codex":[0.9977292,0.0003609679,0.0004271595,0.0008055093,0.0004649463,0.0002123055],"domain_scores_gemma":[0.9957468,0.001282137,0.0005309953,0.0009300983,0.001268247,0.0002418473],"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":[0.00006641044,0.00001597052,0.001267346,0.0009682227,0.0000281471,0.00002240674,0.00002848753,0.0001965066,0.00008841557,0.0009887628,0.9907895,0.005539822],"study_design_scores_gemma":[0.00007932787,0.0000103914,0.002527037,0.0005404547,0.00002150731,0.0000574558,0.00007181729,0.0001771847,0.000137577,0.001698649,0.994655,0.00002352602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007035901,0.0001076338,0.00008134373,0.00008987116,0.00002459386,0.00001581921,0.9981997,0.00020563,0.001204955],"genre_scores_gemma":[0.0003181228,0.000128972,0.0003255222,0.0001164404,0.000009632623,0.0001040439,0.9978842,0.00006991178,0.001043224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1659764,"threshold_uncertainty_score":0.5552465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200339110144955,"score_gpt":0.3639521243087203,"score_spread":0.3439182132942248,"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."}}