{"id":"W4236548110","doi":"10.1515/iupac.78.0324","title":"GLP Compliance Status","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); Chemical nomenclature; Government (linguistics); Pesticide; Field (mathematics); Management science; Computer science; Data science; Engineering; Chemistry; Ecology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002482212,0.0005588948,0.0006238384,0.00004585091,0.0002688742,0.00004053522,0.0005626357,0.0002455275,0.1100824],"category_scores_gemma":[0.0001623984,0.0004229993,0.0001536639,0.0001505304,0.0007258628,0.0001483868,0.0009407682,0.0004088396,0.000280183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605434,"about_ca_system_score_gemma":0.00005799978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488926,"about_ca_topic_score_gemma":0.003835112,"domain_scores_codex":[0.996441,0.00006371672,0.0004630839,0.0007788819,0.001381034,0.0008722665],"domain_scores_gemma":[0.9985241,0.00008990081,0.0002563107,0.0008091126,0.00001690239,0.0003036514],"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":[0.0000584096,0.0001731503,0.00125786,0.00003303279,0.00005033937,0.00006932866,0.00001128046,0.00001092658,0.00006274158,0.000001079364,0.992232,0.006039848],"study_design_scores_gemma":[0.0005619554,0.0001716805,0.00971115,0.0001924362,0.00007907884,0.000009445371,0.00001940653,0.000002814109,0.00002034017,0.0002443396,0.9884199,0.0005674776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005286901,0.0008642556,0.0000875046,0.0004066649,0.0004117515,0.0002881825,0.9963554,0.000058415,0.0009991626],"genre_scores_gemma":[0.0001387505,0.003069679,0.0001327595,0.000819558,0.0003749191,0.00002775428,0.994142,0.00004249106,0.0012521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1098022,"threshold_uncertainty_score":0.9998222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235083599006177,"score_gpt":0.37784316604089,"score_spread":0.3554923300508283,"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."}}