{"id":"W4243718492","doi":"10.1515/iupac.78.0643","title":"Wood Preservative","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Chemical nomenclature; Relation (database); Computer science; Environmental chemistry; Chemistry; Ecology; Biology; 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":[0.0008013517,0.001626516,0.001440466,0.005464556,0.0008057826,0.00212035,0.0024046,0.001485507,0.1289102],"category_scores_gemma":[0.006293139,0.0005725141,0.001244438,0.009525018,0.0003578345,0.002173933,0.001863562,0.001627873,0.1072716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725943,"about_ca_system_score_gemma":0.00268567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280636,"about_ca_topic_score_gemma":0.04865181,"domain_scores_codex":[0.9990258,0.0001208523,0.0001945044,0.0002951741,0.0002591747,0.0001045519],"domain_scores_gemma":[0.9974291,0.0007783579,0.0004247763,0.0004182909,0.0007697355,0.0001797568],"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":[0.00006897107,0.00001798875,0.001047421,0.002801307,0.00003223745,0.00003306536,0.00003965474,0.0002082086,0.000173286,0.001020725,0.9869537,0.007603383],"study_design_scores_gemma":[0.00004651897,0.000007222918,0.002220732,0.000748598,0.00001820915,0.00003816029,0.00004823264,0.00006587542,0.0001229488,0.0007274402,0.9959434,0.00001266552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000600944,0.0001430972,0.00004879247,0.00003966819,0.00001138706,0.000007949981,0.9987717,0.00007770886,0.0008395762],"genre_scores_gemma":[0.0002762731,0.0002203671,0.0002838201,0.00007635536,0.000004673565,0.00006243407,0.998121,0.00004029055,0.0009148075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1289102,"threshold_uncertainty_score":0.4312477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120021947993597,"score_gpt":0.3718115645541862,"score_spread":0.3606113450742502,"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."}}