{"id":"W4236534283","doi":"10.1515/iupac.78.0517","title":"Random 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); Computer science; Relation (database); Data science; Management science; Chemistry; Engineering; 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":[0.003098607,0.001561568,0.001654731,0.003499562,0.0009311811,0.002252864,0.003260303,0.002762731,0.1666495],"category_scores_gemma":[0.03250306,0.0006108053,0.001638365,0.005399297,0.0005170701,0.001720093,0.001680326,0.002147454,0.1262831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882718,"about_ca_system_score_gemma":0.004078024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484115,"about_ca_topic_score_gemma":0.02499837,"domain_scores_codex":[0.996472,0.0008075083,0.0006329483,0.001242303,0.0005471813,0.0002981883],"domain_scores_gemma":[0.9912272,0.003358088,0.000706454,0.002039067,0.002343646,0.0003254761],"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":[0.0003122535,0.00004448668,0.001644138,0.001138896,0.00006001256,0.00004285343,0.00002194315,0.0002866304,0.00006193494,0.0008739562,0.9872676,0.00824542],"study_design_scores_gemma":[0.001346829,0.0000662362,0.004419395,0.001353998,0.0001077601,0.0001572331,0.0001029893,0.0007736736,0.0002545909,0.004954057,0.9864171,0.00004618866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002961108,0.0001892297,0.00032963,0.0001888297,0.00007558597,0.0002407258,0.9968039,0.0002422188,0.001633806],"genre_scores_gemma":[0.001569495,0.0001836983,0.001184906,0.0004266386,0.00004188394,0.001740423,0.9919703,0.0001070789,0.002775579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1666495,"threshold_uncertainty_score":0.5574982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611560817126236,"score_gpt":0.3510403006452014,"score_spread":0.334924692473939,"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."}}