{"id":"W4246552335","doi":"10.1515/iupac.78.0603","title":"Test Guideline","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; Computer science; Relation (database); Guideline; Chemical nomenclature; Management science; Data science; Engineering; Chemistry; Data mining; Political science","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":[0.002481973,0.001487294,0.001109699,0.005685772,0.001081829,0.003600567,0.003133365,0.00254003,0.1886088],"category_scores_gemma":[0.02600273,0.0006930154,0.001736118,0.007506903,0.0005568927,0.002841364,0.001984268,0.001897819,0.13187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003079729,"about_ca_system_score_gemma":0.00552203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0327227,"about_ca_topic_score_gemma":0.06787031,"domain_scores_codex":[0.9970023,0.0006380667,0.000722893,0.0007242313,0.0006719193,0.0002406354],"domain_scores_gemma":[0.9891397,0.004129571,0.001049079,0.001978813,0.003166573,0.0005362486],"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":[0.00006830066,0.00001670995,0.0009855017,0.0008868098,0.00002491032,0.0000264514,0.00002050629,0.0002107433,0.00006393232,0.0008569274,0.9915821,0.005257182],"study_design_scores_gemma":[0.0001687676,0.00002104751,0.003337401,0.001080441,0.00003253467,0.00007130234,0.00008632152,0.0003583244,0.0001950788,0.002455487,0.9921668,0.00002661304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001322559,0.0001405218,0.0001927161,0.0002285308,0.00004107727,0.00006544228,0.9960513,0.000293881,0.002854411],"genre_scores_gemma":[0.0005051233,0.0001256858,0.0005917799,0.0002345203,0.00001198367,0.0002609843,0.9965231,0.000096335,0.001650436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1886088,"threshold_uncertainty_score":0.6309592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079318665018776,"score_gpt":0.3589616818079593,"score_spread":0.3481684951577715,"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."}}