{"id":"W4238419988","doi":"10.1515/iupac.78.0168","title":"Bioassay","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Management science; Engineering; Chemistry; 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":[0.001839354,0.002123634,0.001904868,0.005303595,0.00105051,0.003117057,0.003487477,0.002149016,0.1481789],"category_scores_gemma":[0.0106835,0.0007830425,0.001617357,0.008894138,0.0004686123,0.002442975,0.002237622,0.002067731,0.1645038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290019,"about_ca_system_score_gemma":0.003461987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211852,"about_ca_topic_score_gemma":0.04055822,"domain_scores_codex":[0.9977465,0.0003636472,0.0004349376,0.0006588848,0.0006087343,0.000187214],"domain_scores_gemma":[0.9939992,0.001922733,0.0008395021,0.001313454,0.00165266,0.0002724517],"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":[0.0001037205,0.00002452549,0.001174302,0.002238742,0.00004810089,0.00002648723,0.00002609773,0.0002358527,0.0002891709,0.0008603051,0.9885414,0.006431333],"study_design_scores_gemma":[0.00009885534,0.0000162455,0.002676085,0.0006649058,0.00003771502,0.00004982814,0.00004016543,0.0001251788,0.0002876667,0.001048404,0.9949273,0.0000275884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005875939,0.0001216605,0.00009544997,0.00004764247,0.00001402757,0.00001508393,0.9986336,0.0001628379,0.0008509079],"genre_scores_gemma":[0.0002433003,0.0001560766,0.0003226751,0.000092631,0.000005351822,0.000109712,0.9980941,0.00006201249,0.0009140404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1481789,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703542937359843,"score_gpt":0.4229639208168636,"score_spread":0.4059284914432652,"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."}}