{"id":"W4241566110","doi":"10.1515/iupac.78.0310","title":"FTIR","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; Chemical nomenclature; Computer science; Pesticide; Management science; Environmental chemistry; Chemistry; Ecology; Engineering; Biology; 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":[0.001137056,0.001894894,0.001222788,0.004701801,0.0009149048,0.002720022,0.002634295,0.001930703,0.1503177],"category_scores_gemma":[0.007532269,0.0005440533,0.001485077,0.007576664,0.0003926744,0.002755072,0.002112005,0.001611341,0.19155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926635,"about_ca_system_score_gemma":0.00285806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949039,"about_ca_topic_score_gemma":0.03960775,"domain_scores_codex":[0.9982219,0.0002593057,0.0003393209,0.0005649834,0.0004272808,0.0001870877],"domain_scores_gemma":[0.9972487,0.0006728953,0.0003531957,0.0005907254,0.0009590492,0.0001754718],"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":[0.00006776914,0.00001786398,0.0008141267,0.001043203,0.00002120735,0.00002267048,0.00003094931,0.0001735896,0.0001366664,0.0008652006,0.9910914,0.005715258],"study_design_scores_gemma":[0.00006792083,0.00001055152,0.002060255,0.0004446024,0.00001538714,0.00004747878,0.00007200622,0.0001556164,0.0001767481,0.001049454,0.9958823,0.00001763622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007200922,0.00008542633,0.0000751726,0.00006711491,0.00001789566,0.00001448068,0.9983601,0.0001939136,0.001113815],"genre_scores_gemma":[0.0002160925,0.00009936935,0.0002984492,0.00007865974,0.000005581293,0.00007552083,0.9982795,0.00004908623,0.0008978513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1503177,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561402753466893,"score_gpt":0.3575868793749907,"score_spread":0.3419728518403218,"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."}}