{"id":"W4233953305","doi":"10.1515/iupac.76.0143","title":"Bioinactivation","year":2016,"lang":"en","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; Relation (database); Hazard; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003139752,0.000357258,0.0003983527,0.0001738351,0.0001168079,0.00004860704,0.0003451685,0.0002240636,0.003038768],"category_scores_gemma":[0.000824781,0.0002595446,0.0001217524,0.0001195284,0.0001112278,0.0001181529,0.0001538166,0.0003678611,0.00001498587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021883,"about_ca_system_score_gemma":0.0002538434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001609137,"about_ca_topic_score_gemma":0.00003770603,"domain_scores_codex":[0.9981087,0.00009309725,0.0003401852,0.0004753364,0.0006687027,0.0003139318],"domain_scores_gemma":[0.9985718,0.0001784294,0.0003204446,0.0005258109,0.0003085014,0.00009506238],"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":[0.0004178096,0.0001305125,0.00001379114,0.00008001475,0.00006485068,0.0001616687,0.000007617041,6.725968e-8,0.0001725833,0.00001368147,0.9935493,0.005388035],"study_design_scores_gemma":[0.0004376108,0.001113122,0.0001405842,0.0005964095,0.00004114026,0.00005580781,0.00002020066,0.000005162858,0.0000280467,0.0002501872,0.9969539,0.0003578181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001674444,0.0001911283,0.0002229414,0.0002482576,0.0005186045,0.0001519695,0.9965857,0.0001642303,0.0002427617],"genre_scores_gemma":[0.0005618733,0.0001912036,0.0001169624,0.000116427,0.001597098,0.00001005492,0.9966887,0.00004179954,0.0006758305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005030217,"threshold_uncertainty_score":0.9999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031811055771371,"score_gpt":0.507766822944423,"score_spread":0.4045857173672859,"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."}}