{"id":"W4242951595","doi":"10.1515/iupac.78.0628","title":"Uncertainty Factor","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); Computer science; Field (mathematics); Chemical nomenclature; Data science; Management science; Engineering; Chemistry; Data mining; Mathematics; 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":[0.002408089,0.002098061,0.001612176,0.006856063,0.001053648,0.003946211,0.00279986,0.002088763,0.1024484],"category_scores_gemma":[0.02381341,0.0006389831,0.002617152,0.009266158,0.0005241623,0.003302353,0.002086697,0.00239377,0.0762869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002442859,"about_ca_system_score_gemma":0.003309959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281578,"about_ca_topic_score_gemma":0.03292743,"domain_scores_codex":[0.9965578,0.0005704568,0.0006759693,0.001040532,0.0009133787,0.0002419408],"domain_scores_gemma":[0.9909151,0.004433436,0.0007281413,0.0015506,0.002132252,0.0002404462],"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":[0.0001125983,0.00003022491,0.002535403,0.001884783,0.0001172648,0.00004821184,0.00004664464,0.00157715,0.000108333,0.002370713,0.9778261,0.01334254],"study_design_scores_gemma":[0.0001248094,0.00001680914,0.00303985,0.000813485,0.00006204156,0.0001002321,0.00008432993,0.0009544112,0.0002376931,0.004545155,0.9899778,0.00004333703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001829764,0.000280552,0.0002942014,0.000120015,0.00004034075,0.00002719534,0.9972282,0.0003223478,0.001504133],"genre_scores_gemma":[0.001262221,0.0002393945,0.0009777112,0.0001155984,0.00001746398,0.0001657584,0.9961868,0.0001014587,0.0009336703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1024484,"threshold_uncertainty_score":0.3427241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928539308559665,"score_gpt":0.3588855929777375,"score_spread":0.3396001998921409,"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."}}