{"id":"W4250750336","doi":"10.1515/iupac.78.0167","title":"Bioactivation","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; Computer science; Management science; Data science; Chemistry; Engineering; Data mining; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001140831,0.00234029,0.001557766,0.004670189,0.0009229027,0.002706432,0.002855505,0.002050999,0.1121379],"category_scores_gemma":[0.006545002,0.0006675062,0.00187656,0.007735996,0.0004196613,0.002312623,0.001881105,0.001965593,0.1015857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002362288,"about_ca_system_score_gemma":0.003405935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02449813,"about_ca_topic_score_gemma":0.04355862,"domain_scores_codex":[0.9986416,0.0002154843,0.0002572208,0.0004004141,0.0003621998,0.000123128],"domain_scores_gemma":[0.9972206,0.0009260976,0.0004525037,0.0005207749,0.0007343319,0.000145764],"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":[0.0001184036,0.00002268792,0.00103846,0.003479128,0.00005450455,0.00003514926,0.00003421271,0.000372074,0.0002682053,0.001192809,0.9868145,0.006569752],"study_design_scores_gemma":[0.00009150447,0.00001283901,0.002120424,0.0007472329,0.00003540242,0.00005136374,0.00003340995,0.000122327,0.0002268305,0.001047294,0.995491,0.00002033612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006240178,0.0002160757,0.00006093276,0.00005502549,0.00001402072,0.00001175958,0.9985082,0.0001259898,0.0009455907],"genre_scores_gemma":[0.0002773461,0.0002728192,0.0002410295,0.00009873426,0.000005174637,0.00008679034,0.9981785,0.00004482072,0.0007946852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8878621,"threshold_uncertainty_score":0.3751387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193703196471864,"score_gpt":0.3528726598242028,"score_spread":0.3409356278594842,"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."}}