{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004527041,0.0002414859,0.0003932956,0.00002386107,0.0001551915,0.00006416111,0.000347224,0.0002804539,0.008846661],"category_scores_gemma":[0.0003334862,0.00006857016,0.0002042202,0.0002216453,0.00005388596,0.00006770957,0.00009220636,0.0001918161,0.000006218817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096484,"about_ca_system_score_gemma":0.00006651675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005084848,"about_ca_topic_score_gemma":0.01110978,"domain_scores_codex":[0.9981467,0.0001028358,0.0003591241,0.0003869096,0.0007204366,0.0002840132],"domain_scores_gemma":[0.9990885,0.0001502006,0.0002098236,0.0001522829,0.0002797294,0.0001194485],"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":[0.0000355342,0.00005737798,0.00002126103,0.000006878947,0.00002965643,0.00001463456,5.148323e-7,3.964971e-7,0.0005202448,0.00000517561,0.9590973,0.04021108],"study_design_scores_gemma":[0.00009775269,0.0001823502,0.001518076,0.00008626314,0.00006932324,0.000002824083,0.000004244897,0.000001989749,0.00002351344,0.0001752353,0.9976072,0.0002312648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001725607,0.0003991686,0.000005550829,0.001715828,0.0001296717,0.0001029397,0.9958295,0.0000352005,0.00005648421],"genre_scores_gemma":[0.0001976128,0.0009495022,0.000003788516,0.0003897671,0.00143328,0.000005656067,0.996738,9.064568e-7,0.0002815098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03997982,"threshold_uncertainty_score":0.9920594,"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."}}