{"id":"W4236824132","doi":"10.1515/iupac.78.0229","title":"Cross-Resistance","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); Pesticide; Chemical nomenclature; Computer science; Management science; Data science; Ecology; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410862,0.001688968,0.001653854,0.005403152,0.0009872025,0.002784168,0.002696542,0.001983527,0.1059822],"category_scores_gemma":[0.01244923,0.0005988922,0.001786291,0.009467116,0.0004389317,0.002244757,0.002064621,0.001816508,0.0762803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768257,"about_ca_system_score_gemma":0.003192459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132049,"about_ca_topic_score_gemma":0.04210655,"domain_scores_codex":[0.9975999,0.0003499539,0.0005710975,0.0007560194,0.0004829336,0.0002401721],"domain_scores_gemma":[0.994224,0.001862884,0.001067997,0.00115054,0.001391686,0.0003028762],"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":[0.000102156,0.00001948957,0.00239498,0.002324141,0.00006022718,0.00004387453,0.00003888807,0.0002114009,0.0001550026,0.0009788448,0.9880853,0.0055856],"study_design_scores_gemma":[0.0001273991,0.00001655254,0.006295498,0.001239077,0.00005891129,0.0001139483,0.00007900858,0.0001482761,0.0001978745,0.001298412,0.9903947,0.00003038248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001157117,0.0001677172,0.00005483532,0.00006141406,0.00001865538,0.00001250875,0.9986424,0.00007761799,0.0008490952],"genre_scores_gemma":[0.0004615218,0.0001869791,0.0002315079,0.0001150251,0.000008120211,0.0001007237,0.9979697,0.00004001336,0.0008863842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1059822,"threshold_uncertainty_score":0.3545457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107859712962375,"score_gpt":0.3669433068044192,"score_spread":0.3561573355081817,"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."}}