{"id":"W4244827971","doi":"10.1515/iupac.78.0116","title":"Acetylcholine Receptor Antagonist","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; Relation (database); Pesticide; Computer science; Biology; Ecology; 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":[0.001012639,0.001326461,0.001674654,0.00298428,0.0006671679,0.001947267,0.00229024,0.001647852,0.1223944],"category_scores_gemma":[0.00759228,0.0004579389,0.001396737,0.005578092,0.0002738261,0.001428291,0.001198384,0.001565099,0.08501232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433258,"about_ca_system_score_gemma":0.002604097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149065,"about_ca_topic_score_gemma":0.03894923,"domain_scores_codex":[0.9987823,0.0002012424,0.0003036986,0.0003497522,0.0002657056,0.00009715951],"domain_scores_gemma":[0.9967197,0.001188804,0.0006343887,0.0005270047,0.0007528876,0.000177272],"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":[0.0002589655,0.0000321663,0.001189497,0.003596958,0.0000728905,0.00004660825,0.00001966947,0.0001751042,0.0002289186,0.0005219718,0.983198,0.01065908],"study_design_scores_gemma":[0.0003214297,0.00003916633,0.005698223,0.001325335,0.0001019039,0.0001499367,0.0000398472,0.00014396,0.0002819664,0.001098087,0.99077,0.00003017628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001118034,0.0003800704,0.00006746157,0.00008285981,0.00002101508,0.00002459349,0.9980135,0.00008804673,0.001210634],"genre_scores_gemma":[0.0005280483,0.0005100303,0.0003729489,0.0002228275,0.00001340367,0.0001832648,0.9967034,0.00003536875,0.001430684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1223944,"threshold_uncertainty_score":0.40945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576732297128598,"score_gpt":0.3535389234373191,"score_spread":0.3377716004660332,"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."}}