{"id":"W4231841249","doi":"10.1515/iupac.78.0181","title":"Biometer Flask","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; Pesticide; Management science; Data science; Chemistry; Engineering; Ecology; 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":[0.001263737,0.002126645,0.001503024,0.005142387,0.0009964691,0.003321801,0.003297257,0.002220123,0.1304192],"category_scores_gemma":[0.008838669,0.0007562879,0.001527171,0.008247389,0.0004639971,0.003097828,0.002817516,0.002129552,0.1832371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789825,"about_ca_system_score_gemma":0.003319008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01838118,"about_ca_topic_score_gemma":0.04077246,"domain_scores_codex":[0.9985825,0.0002288561,0.0002564453,0.0004712895,0.0002991437,0.0001618391],"domain_scores_gemma":[0.9972153,0.0008244013,0.0003472327,0.000689046,0.0006959466,0.0002281012],"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":[0.00007093663,0.00001518614,0.0007073097,0.001225568,0.00002859519,0.00002331989,0.00003499596,0.0002287184,0.0001238336,0.001143301,0.9927695,0.003628639],"study_design_scores_gemma":[0.00008952026,0.000008694397,0.001214064,0.0003527284,0.00001692537,0.00003739087,0.00005100039,0.0001795885,0.0001754538,0.001518656,0.9963382,0.00001778326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004761,0.0000673683,0.0000889819,0.00006125898,0.00001654591,0.00001189434,0.9985071,0.0003771838,0.0008219805],"genre_scores_gemma":[0.0001982491,0.00009539686,0.0003606775,0.00007708032,0.000005004758,0.00008039276,0.998453,0.0001076572,0.0006225209],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1304192,"threshold_uncertainty_score":0.4362956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671020782047111,"score_gpt":0.3567898422267504,"score_spread":0.3400796344062793,"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."}}