{"id":"W4237179616","doi":"10.1515/iupac.78.0237","title":"Degradate","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; Relation (database); Chemical nomenclature; Pesticide; Computer science; Management science; Environmental chemistry; Ecology; Engineering; Chemistry; Biology; Data mining; Linguistics","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":[0.001051884,0.002000952,0.001377422,0.005554361,0.001094014,0.00319301,0.002501556,0.001785512,0.1483441],"category_scores_gemma":[0.007382565,0.0006262261,0.001590557,0.009172413,0.000433783,0.002798134,0.002450702,0.001806368,0.159861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217608,"about_ca_system_score_gemma":0.003223799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02956928,"about_ca_topic_score_gemma":0.05801411,"domain_scores_codex":[0.9984407,0.0002288214,0.0002805023,0.0004786024,0.0003884321,0.000183035],"domain_scores_gemma":[0.997017,0.0007607616,0.0004822852,0.0006290484,0.0009101203,0.0002008109],"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":[0.00007463972,0.00001398595,0.001047848,0.001519386,0.00002974308,0.00002281867,0.00003960012,0.0001615755,0.0001622843,0.001221461,0.9905025,0.005204331],"study_design_scores_gemma":[0.00005355463,0.000008065054,0.002111663,0.0005340124,0.00001930014,0.00003649514,0.00006256472,0.00009338569,0.0001428322,0.0009343043,0.9959875,0.00001633121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006412686,0.0001019942,0.00005467571,0.0000647613,0.00001470457,0.000008587193,0.9984761,0.0001140871,0.001100913],"genre_scores_gemma":[0.000249994,0.0001406109,0.0002281631,0.00009076038,0.000006068239,0.00005792075,0.9981284,0.00006051702,0.001037603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8516558,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901832674132369,"score_gpt":0.4221054781258525,"score_spread":0.4030871513845288,"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."}}