{"id":"W4249952831","doi":"10.1515/iupac.78.0506","title":"Processing Factor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Computer science; Chemical nomenclature; Data science; Field (mathematics); Management science; Engineering; Chemistry; Data mining; Mathematics","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":[0.00200292,0.00215886,0.001592862,0.006019794,0.001093791,0.003607221,0.002639355,0.001890854,0.1750547],"category_scores_gemma":[0.01938112,0.0006625484,0.002313507,0.008922214,0.0005002112,0.002936334,0.001921167,0.00202995,0.1768035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133593,"about_ca_system_score_gemma":0.004087662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061364,"about_ca_topic_score_gemma":0.03241418,"domain_scores_codex":[0.9970099,0.0004042675,0.0006177655,0.001051404,0.0006118554,0.0003047241],"domain_scores_gemma":[0.9926453,0.002426723,0.0006196717,0.00160335,0.002403496,0.0003014842],"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":[0.0001209987,0.00002539196,0.001341839,0.00126106,0.00004392897,0.00002368778,0.00002995187,0.000235391,0.0001240418,0.0007383917,0.9877161,0.008339212],"study_design_scores_gemma":[0.0001515896,0.00002136895,0.003294468,0.0005829888,0.00004265428,0.00005844155,0.00008834153,0.0002702223,0.0003160222,0.001952045,0.9931864,0.00003544271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009918619,0.00008887135,0.0001189802,0.0000802725,0.00003091041,0.00003639455,0.9982248,0.0002563495,0.001064327],"genre_scores_gemma":[0.000456038,0.00009875771,0.000613963,0.00008537993,0.00001304881,0.000247315,0.9972526,0.00009187366,0.001141015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1750547,"threshold_uncertainty_score":0.5856164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488430632693954,"score_gpt":0.362597311859182,"score_spread":0.3477130055322424,"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."}}