{"id":"W4245697139","doi":"10.1515/iupac.78.0397","title":"Lysimeter","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Computer science; Ecology; Biology; Data mining","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":[0.00110746,0.00205617,0.00128395,0.003798311,0.0007824766,0.002355409,0.002945025,0.001796538,0.07224704],"category_scores_gemma":[0.005231702,0.0005422201,0.001334417,0.005722587,0.0004061892,0.002279367,0.001801414,0.001842381,0.1176165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772039,"about_ca_system_score_gemma":0.002422862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01911503,"about_ca_topic_score_gemma":0.04037685,"domain_scores_codex":[0.9988139,0.0001842354,0.0001885277,0.0003739307,0.0003151697,0.000124344],"domain_scores_gemma":[0.9979814,0.0005218899,0.0002930417,0.0004758447,0.0006004247,0.0001273024],"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":[0.0001105633,0.00002476949,0.001141101,0.001278412,0.00003585041,0.00002825419,0.00002603777,0.0004677348,0.000185549,0.001042461,0.9897864,0.005872925],"study_design_scores_gemma":[0.0001066882,0.00001670148,0.002662439,0.0004056474,0.00002297649,0.00004987923,0.0000546693,0.000350749,0.0003174076,0.001384168,0.9946035,0.00002525203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001020966,0.0001114417,0.0001052344,0.00005533532,0.0000177626,0.00001093826,0.9983574,0.0003729064,0.0008669143],"genre_scores_gemma":[0.000322711,0.0001190681,0.0003380723,0.00006425386,0.000005174963,0.00005865839,0.9982671,0.00006837974,0.0007566441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07224704,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201129116707826,"score_gpt":0.3878346473596704,"score_spread":0.3758233561925922,"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."}}