{"id":"W4248502537","doi":"10.1515/iupac.78.0214","title":"Community","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); Chemical nomenclature; Computer science; Data science; Management science; Chemistry; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00165347,0.001621741,0.001523006,0.007049966,0.001236835,0.00346139,0.003383764,0.002162956,0.1344865],"category_scores_gemma":[0.01428193,0.0006016131,0.001353504,0.01271182,0.0004803666,0.003545129,0.003037451,0.002092634,0.155211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210729,"about_ca_system_score_gemma":0.00414038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02495522,"about_ca_topic_score_gemma":0.05080047,"domain_scores_codex":[0.9972868,0.0004630552,0.0004885588,0.0009020029,0.000572726,0.0002870029],"domain_scores_gemma":[0.9946882,0.001495693,0.0005599369,0.001196401,0.001652893,0.0004069133],"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":[0.00004591949,0.00001012257,0.0006408407,0.0008148134,0.00001885506,0.00001805207,0.00003036561,0.0001079771,0.00006300781,0.0008696541,0.9936808,0.00369959],"study_design_scores_gemma":[0.00005843334,0.000005567658,0.0011866,0.000429851,0.00001300897,0.00003541468,0.00007117066,0.0001156373,0.00007835189,0.001179441,0.9968109,0.00001562528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005613188,0.0001004061,0.00007436139,0.00009412559,0.0000228694,0.0000173094,0.9982716,0.0001605684,0.001202674],"genre_scores_gemma":[0.0002155241,0.0001073229,0.0003146795,0.0001105489,0.000007626477,0.0001197381,0.9982292,0.00005529757,0.0008400553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8655136,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762583148669505,"score_gpt":0.3680092305937279,"score_spread":0.3503833991070328,"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."}}