{"id":"W4238559167","doi":"10.1515/iupac.78.0564","title":"Soil Organic Matter","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Computer science; Environmental chemistry; Ecology; Chemistry; Data mining; Biology","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":[0.0008043691,0.001724523,0.001501971,0.005283942,0.0006066655,0.002002644,0.002041981,0.001095732,0.08562681],"category_scores_gemma":[0.004609395,0.0005302861,0.001060925,0.01211123,0.0003369289,0.001699814,0.00163064,0.00122071,0.08049572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609548,"about_ca_system_score_gemma":0.002447827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03108072,"about_ca_topic_score_gemma":0.0544033,"domain_scores_codex":[0.9990041,0.0001129908,0.0002178071,0.0003125648,0.0002578305,0.00009471719],"domain_scores_gemma":[0.9975566,0.0004947296,0.0004781342,0.0003954256,0.000906556,0.0001685884],"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":[0.00008096083,0.00002021663,0.003100226,0.003136118,0.00007478276,0.00004290356,0.00004975941,0.0002887308,0.000293607,0.0008099134,0.9848186,0.007284217],"study_design_scores_gemma":[0.0001034486,0.0000107965,0.009514452,0.0006293684,0.00003321812,0.00005246963,0.00007720823,0.00009807097,0.0002095401,0.0008637985,0.9883847,0.0000229855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006177634,0.00006067168,0.00002433119,0.00001649165,0.000005900205,0.000005241423,0.9993947,0.00003756872,0.000393396],"genre_scores_gemma":[0.0003376418,0.0001194135,0.0001563463,0.00003105082,0.000003369212,0.00005119557,0.9987558,0.00001946878,0.000525792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08562681,"threshold_uncertainty_score":0.2864502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008558825065677076,"score_gpt":0.3179041260609368,"score_spread":0.3093453009952598,"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."}}