{"id":"W4241485937","doi":"10.1515/iupac.78.0631","title":"Vapor Pressure","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; Management science; Environmental chemistry; Data 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":[],"consensus_categories":[],"category_scores_codex":[0.0006762629,0.001650153,0.001369056,0.004596612,0.0007640815,0.0024395,0.002334162,0.001321742,0.1138218],"category_scores_gemma":[0.005207695,0.000513244,0.001253144,0.00915972,0.000339725,0.002552607,0.0016281,0.001669914,0.1355741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570826,"about_ca_system_score_gemma":0.00188329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0287407,"about_ca_topic_score_gemma":0.04043703,"domain_scores_codex":[0.998949,0.0001298376,0.0001878675,0.0003329493,0.0002929009,0.0001074104],"domain_scores_gemma":[0.9979464,0.0005143742,0.0003066755,0.0004127496,0.0006827514,0.0001370507],"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":[0.00004396396,0.00001180812,0.001226492,0.0009744259,0.00002580168,0.00002048722,0.0000246992,0.0001931115,0.00009601603,0.0006999415,0.9922921,0.004391259],"study_design_scores_gemma":[0.00005922185,0.000008099682,0.004423881,0.0003996659,0.00001671436,0.00005665303,0.00005139437,0.0001685121,0.000163361,0.001122685,0.9935062,0.00002357795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006086373,0.00009196014,0.00004082513,0.00003833041,0.00001489496,0.000005949951,0.9987514,0.0001520674,0.0008436393],"genre_scores_gemma":[0.0003659872,0.0001399189,0.000196626,0.00005336962,0.00000914972,0.00005274804,0.9983757,0.00005066619,0.0007558301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1138218,"threshold_uncertainty_score":0.3807719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102266268510836,"score_gpt":0.3465722315024261,"score_spread":0.3363456046513424,"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."}}