{"id":"W4247993921","doi":"10.1515/iupac.78.0503","title":"Primary 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; Sample (material); Relation (database); Computer science; Pesticide; Chemical nomenclature; Field (mathematics); Data science; Management science; Ecology; Engineering; Chemistry; Biology; Data mining; Mathematics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001977708,0.001493971,0.001809304,0.006253672,0.001004569,0.002927944,0.002760745,0.002316205,0.1383011],"category_scores_gemma":[0.02166397,0.0006260784,0.001349975,0.01149072,0.0005161085,0.002340693,0.002091006,0.001813021,0.1179701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250258,"about_ca_system_score_gemma":0.005187697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182184,"about_ca_topic_score_gemma":0.04124171,"domain_scores_codex":[0.9970913,0.0005265314,0.0006274399,0.0008501445,0.0005963925,0.0003081796],"domain_scores_gemma":[0.9920928,0.002888874,0.0008514802,0.001230761,0.002494883,0.0004411536],"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":[0.0001432702,0.00002461786,0.001625262,0.002073697,0.00003925716,0.00004471177,0.00004751249,0.0001460999,0.00009249769,0.0007684577,0.9903286,0.004666049],"study_design_scores_gemma":[0.0002398799,0.00001808092,0.004989282,0.001511753,0.00004772163,0.00009053764,0.0001735807,0.0001553222,0.0001658362,0.00127525,0.9913052,0.00002762851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001419653,0.0001671197,0.00006330162,0.00009847341,0.00002549325,0.00003751484,0.9984756,0.00007289712,0.0009175878],"genre_scores_gemma":[0.0005667631,0.0001876045,0.0003104843,0.0001631961,0.00001657495,0.0004721222,0.9969341,0.00004956916,0.001299531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8616989,"threshold_uncertainty_score":0.4626631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580510432417257,"score_gpt":0.343179768816198,"score_spread":0.3273746644920254,"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."}}