{"id":"W4243121977","doi":"10.1515/iupac.78.0282","title":"Epinasty","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; Relation (database); Chemical nomenclature; Computer science; Management science; Data science; Chemistry; Engineering; 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":[0.001244613,0.001757285,0.001320407,0.006125921,0.00104746,0.003227707,0.002707254,0.001791437,0.1229134],"category_scores_gemma":[0.01105359,0.0006473591,0.001486581,0.01046273,0.0004790878,0.002899928,0.002825925,0.001975049,0.117058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957824,"about_ca_system_score_gemma":0.003806795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02509221,"about_ca_topic_score_gemma":0.05769559,"domain_scores_codex":[0.9982918,0.0002866892,0.000360012,0.00053755,0.0003520974,0.0001717813],"domain_scores_gemma":[0.9961044,0.001376937,0.0005075813,0.0007847896,0.0009321633,0.0002940977],"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":[0.00007093707,0.00001416205,0.0009462119,0.001770957,0.00003185344,0.00003164331,0.00005329311,0.0001864848,0.0001319028,0.001085896,0.9917952,0.003881409],"study_design_scores_gemma":[0.00008369334,0.000010204,0.001762523,0.0004596075,0.0000189319,0.00004577147,0.00006474306,0.000124711,0.0001168892,0.001051942,0.9962423,0.00001875039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005597088,0.00008292765,0.00005474495,0.00006192522,0.00001438286,0.0000115178,0.9988543,0.0001715684,0.0006926825],"genre_scores_gemma":[0.0002227516,0.0001134992,0.0002874765,0.00008036604,0.000006400631,0.0001074032,0.9984945,0.00006629084,0.0006213154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1229134,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576433963058204,"score_gpt":0.3572431702780233,"score_spread":0.3414788306474413,"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."}}