{"id":"W4240362286","doi":"10.1515/iupac.76.0356","title":"Reactive Oxygen Species (ROS)","year":2016,"lang":"es","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Computer science; Toxicology; Medicine; Pharmacology; Biology; Philosophy; 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":[0.001271932,0.001543256,0.001559516,0.005207552,0.0006794724,0.002665423,0.001818521,0.001432224,0.07258491],"category_scores_gemma":[0.007428141,0.0006435203,0.001679116,0.008285159,0.0003549084,0.001810713,0.001864738,0.001823258,0.07288639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239192,"about_ca_system_score_gemma":0.001924559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009459169,"about_ca_topic_score_gemma":0.01641961,"domain_scores_codex":[0.9983364,0.0002362533,0.0004121758,0.0004999842,0.0003923026,0.000123014],"domain_scores_gemma":[0.9962049,0.001594184,0.0006882924,0.0005897065,0.0007319369,0.0001910038],"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":[0.0001312216,0.00003464529,0.002547399,0.005856569,0.00007745053,0.00004769864,0.00007727958,0.0004100952,0.0005471407,0.001207439,0.9736261,0.01543691],"study_design_scores_gemma":[0.00007818255,0.00002127306,0.005235645,0.001083858,0.00005289067,0.00006450729,0.00006287012,0.0001620989,0.0003709972,0.001289944,0.9915472,0.00003051776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001353835,0.0003463221,0.0001303624,0.00004998354,0.00002723897,0.00002207899,0.9981111,0.0002205842,0.0009569477],"genre_scores_gemma":[0.0004676673,0.0004447191,0.0006536729,0.0001159423,0.00001203253,0.0001911841,0.9971045,0.00007369145,0.0009367308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07258491,"threshold_uncertainty_score":0.2428207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09117405396714404,"score_gpt":0.4779784716029669,"score_spread":0.3868044176358229,"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."}}