{"id":"W4256163181","doi":"10.1515/iupac.81.0219","title":"Cross-Resistance","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":[0.002375321,0.00216821,0.00204077,0.004401958,0.0015725,0.004355741,0.003871914,0.002952738,0.08403414],"category_scores_gemma":[0.01906574,0.0007674123,0.002807673,0.006388711,0.0006176081,0.003420464,0.003430339,0.002715787,0.1013272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753783,"about_ca_system_score_gemma":0.00297379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402269,"about_ca_topic_score_gemma":0.0303358,"domain_scores_codex":[0.9955024,0.000740334,0.0007753552,0.001541549,0.0008980478,0.0005422888],"domain_scores_gemma":[0.992342,0.002129978,0.0009412679,0.002388925,0.001738177,0.0004596603],"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":[0.0001598926,0.00004319741,0.00418481,0.001631324,0.00008437076,0.00006776117,0.00004279439,0.0004062139,0.0001961497,0.001291611,0.983731,0.008160823],"study_design_scores_gemma":[0.0001933116,0.00003410067,0.006736008,0.000908698,0.00007939054,0.0002849279,0.0001243495,0.0006552407,0.00047757,0.002785835,0.9876735,0.0000471704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005717808,0.0004092945,0.0002495861,0.0002279666,0.0001002394,0.00004092779,0.995322,0.0005169897,0.002561159],"genre_scores_gemma":[0.001022972,0.0001884158,0.0005808579,0.0002223829,0.00001688261,0.0001175225,0.9962412,0.0001063425,0.001503396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08403414,"threshold_uncertainty_score":0.2811222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009490718977717876,"score_gpt":0.371185574174867,"score_spread":0.3616948551971491,"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."}}