{"id":"W4233771735","doi":"10.1515/iupac.78.0367","title":"Increment Sample","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; Sample (material); Relation (database); Pesticide; Computer science; Management science; Data science; Chemistry; Engineering; Ecology; 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":[0.001625277,0.00148444,0.001306792,0.005286008,0.0009689956,0.002922724,0.002726389,0.001920576,0.1774074],"category_scores_gemma":[0.01836724,0.0006181588,0.001389049,0.00843703,0.0004237714,0.002498321,0.002160665,0.0016528,0.145686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792469,"about_ca_system_score_gemma":0.0034842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01708602,"about_ca_topic_score_gemma":0.03694838,"domain_scores_codex":[0.9977053,0.0003915221,0.0004551648,0.0007675235,0.0004587268,0.0002218121],"domain_scores_gemma":[0.9933118,0.002334975,0.0005503729,0.001424614,0.002025396,0.0003529104],"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":[0.0001066161,0.00002147354,0.001232988,0.001103125,0.00003021095,0.00002420973,0.00002760665,0.0001748805,0.00007482276,0.0008364115,0.9909865,0.005381044],"study_design_scores_gemma":[0.0001873566,0.00001400973,0.00299613,0.0005781073,0.00002906069,0.0000485274,0.00009094038,0.0001979371,0.0001447192,0.00154012,0.9941521,0.00002107881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001002957,0.00007378783,0.00007029968,0.0000827652,0.00002464306,0.00002433796,0.9984762,0.0001659857,0.0009816982],"genre_scores_gemma":[0.0003923896,0.00009102005,0.0003634815,0.0001002528,0.00001084199,0.0002102792,0.9976579,0.000074187,0.001099685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1774074,"threshold_uncertainty_score":0.5934869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193034656737434,"score_gpt":0.3596504578093054,"score_spread":0.340346992135562,"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."}}