{"id":"W4239142298","doi":"10.1515/iupac.78.0607","title":"Test System","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; Computer science; Relation (database); Pesticide; Management science; Data science; Chemistry; Engineering; Ecology; Data mining; 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":[0.00179785,0.002213048,0.001245951,0.004061081,0.001067502,0.002990488,0.004191644,0.002379115,0.112746],"category_scores_gemma":[0.01304329,0.0006583306,0.001798545,0.005091295,0.0005436165,0.002508658,0.002297876,0.001934765,0.1256263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002285318,"about_ca_system_score_gemma":0.00332921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440796,"about_ca_topic_score_gemma":0.04425711,"domain_scores_codex":[0.9979431,0.0004146786,0.0003471348,0.0006052495,0.00048733,0.0002025551],"domain_scores_gemma":[0.9949647,0.001628486,0.0004156967,0.001450346,0.001257468,0.0002832585],"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":[0.0001363317,0.00002730359,0.001102578,0.0008336006,0.0000418219,0.00003359074,0.00001942054,0.0007638363,0.0001178423,0.001108524,0.9899561,0.005858938],"study_design_scores_gemma":[0.0002846405,0.00003912742,0.002699588,0.0004791048,0.00003857345,0.00009115617,0.00007395066,0.001870115,0.0005224555,0.003921537,0.9899385,0.00004124847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001802569,0.0001051631,0.0003032123,0.0001281959,0.00003398698,0.00003991064,0.9964535,0.001300787,0.001454975],"genre_scores_gemma":[0.0005436175,0.00006694201,0.0006359733,0.00009956444,0.000007327464,0.0001330579,0.9976112,0.0001385141,0.0007638087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.112746,"threshold_uncertainty_score":0.3771731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128325009539955,"score_gpt":0.3343382530103116,"score_spread":0.3215057520563161,"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."}}