{"id":"W4234090782","doi":"10.1515/iupac.78.0355","title":"Hormone","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; Computer science; Relation (database); Pesticide; Chemical nomenclature; Environmental chemistry; Management science; Chemistry; Ecology; Engineering; Biology; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003981173,0.0003207641,0.0005517325,0.00002476225,0.0001627075,0.00006351808,0.0005088839,0.0003247553,0.008033633],"category_scores_gemma":[0.0002594973,0.00008915841,0.0002868895,0.0002565001,0.00008232197,0.00005973134,0.0001547562,0.0002575526,0.000008926932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001137103,"about_ca_system_score_gemma":0.00006744544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00054579,"about_ca_topic_score_gemma":0.004933452,"domain_scores_codex":[0.9978383,0.00008479472,0.0003868993,0.0004534973,0.0008317195,0.0004048558],"domain_scores_gemma":[0.9989682,0.0001832384,0.0002121782,0.000183824,0.0002673613,0.0001851627],"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":[0.00004480072,0.00009003002,0.00001110766,0.000005801532,0.00005804085,0.0000344365,5.453988e-7,2.128844e-7,0.0005846802,0.000002909664,0.9739536,0.02521382],"study_design_scores_gemma":[0.0001422509,0.0002272484,0.002257983,0.00006490782,0.0001036834,0.000006296313,0.000007330748,9.911415e-7,0.00001283401,0.0001693746,0.9966941,0.0003129626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001748097,0.001555753,0.000003077572,0.001719239,0.0001145102,0.0001058561,0.9946431,0.00004459049,0.00006575441],"genre_scores_gemma":[0.0002616086,0.004101095,0.000004384623,0.0003169372,0.001414404,0.000006057546,0.9935216,0.000001250471,0.0003726399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02490086,"threshold_uncertainty_score":0.9928731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497547836045809,"score_gpt":0.3474058988180579,"score_spread":0.3324304204575999,"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."}}