{"id":"W4250541308","doi":"10.1515/iupac.78.0233","title":"Cuticle","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Pesticide; Relation (database); Computer science; Management science; Chemistry; Ecology; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007862734,0.001466776,0.001256057,0.00459072,0.0008019467,0.00319138,0.001797641,0.001451865,0.2053073],"category_scores_gemma":[0.007577295,0.0005439688,0.001156544,0.008452502,0.0003488408,0.002207523,0.002031525,0.001502741,0.2254709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604557,"about_ca_system_score_gemma":0.002847891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522326,"about_ca_topic_score_gemma":0.02749364,"domain_scores_codex":[0.9988022,0.0001736054,0.0002182452,0.0003647175,0.0003160729,0.0001250584],"domain_scores_gemma":[0.9969769,0.0008965281,0.0004265828,0.0005498327,0.0009137603,0.0002365852],"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":[0.00003848979,0.000008143405,0.0005637126,0.001132411,0.00001623663,0.00001954023,0.00002104905,0.00009564548,0.000107342,0.0005761132,0.9933368,0.004084502],"study_design_scores_gemma":[0.00003548167,0.00000593081,0.00154001,0.0004209482,0.00001107533,0.00003575106,0.00003087235,0.00006206808,0.00008973855,0.0006696768,0.997089,0.000009482904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000052651,0.00017543,0.00005792544,0.00008130386,0.00002235217,0.00001023663,0.9978303,0.0001529113,0.001616796],"genre_scores_gemma":[0.0002665159,0.0002186827,0.00020143,0.0001219504,0.00001034164,0.00005736364,0.9975617,0.00006577508,0.001496246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2053073,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587931063349042,"score_gpt":0.3592901548368684,"score_spread":0.343410844203378,"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."}}