{"id":"W4255913180","doi":"10.1515/iupac.78.0482","title":"Phytoalexin","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; Chemical nomenclature; Pesticide; Computer science; Management science; Environmental chemistry; Chemistry; Ecology; Engineering; Biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007791084,0.001841199,0.001532035,0.004808716,0.0008705482,0.002261423,0.00213729,0.001762551,0.0866315],"category_scores_gemma":[0.004705928,0.0005240559,0.001245912,0.008700533,0.0003827817,0.001788114,0.001676851,0.001662825,0.0818317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672091,"about_ca_system_score_gemma":0.002581554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196512,"about_ca_topic_score_gemma":0.04421756,"domain_scores_codex":[0.9988795,0.0001414121,0.0002180507,0.0003738044,0.000270586,0.0001167104],"domain_scores_gemma":[0.997903,0.0006213553,0.00040842,0.0003739201,0.0005256756,0.000167613],"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":[0.0001359163,0.0000284329,0.001606299,0.002657072,0.00004440849,0.00005239614,0.00004304981,0.0002273397,0.0004091162,0.0008417326,0.9878724,0.006081825],"study_design_scores_gemma":[0.0001143614,0.00001824828,0.004743845,0.0006370846,0.00003718522,0.00008830601,0.00006042968,0.0001204431,0.0002822724,0.0009418162,0.9929328,0.00002325057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009400795,0.000156314,0.00003939421,0.0000418957,0.00001081055,0.000008698001,0.9989409,0.00008074899,0.0006271307],"genre_scores_gemma":[0.0002762809,0.0001629693,0.0001942876,0.0000659979,0.000004138426,0.00006485175,0.9985898,0.00002524632,0.0006164272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0866315,"threshold_uncertainty_score":0.2898113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169530276905897,"score_gpt":0.3550171873613571,"score_spread":0.3433218845922982,"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."}}