{"id":"W4252121505","doi":"10.1515/iupac.79.1257","title":"Excitotoxicity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Multidisciplinary approach; Toxicology; Library science; Chemistry; Philosophy; Linguistics; Biology; Sociology; Social science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001414766,0.0002952856,0.00028667,0.00001557313,0.00005155033,0.00001910383,0.000431563,0.0002953792,0.03882791],"category_scores_gemma":[0.0001965373,0.0002295508,0.0001121245,0.0001049674,0.0001562447,0.0000618778,0.0003415997,0.0003596127,0.00001840046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005684439,"about_ca_system_score_gemma":0.00003661509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005599639,"about_ca_topic_score_gemma":0.00005603081,"domain_scores_codex":[0.9982946,0.000009816868,0.0002381238,0.0004085635,0.0007092025,0.0003396908],"domain_scores_gemma":[0.9991276,0.00003988215,0.00008390382,0.0005464227,0.00001361395,0.0001886388],"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":[0.00001678917,0.00006717895,0.000006478524,0.0000444203,0.00001303968,0.00002372122,0.000001529269,0.00001639361,0.004022594,2.295796e-7,0.9948892,0.000898429],"study_design_scores_gemma":[0.0002437053,0.00001865481,0.00001360903,0.00009432258,0.00001728437,0.000009961114,0.000001534938,0.000009111884,0.004793791,0.00006158518,0.9944107,0.0003257379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001020654,0.00004543245,0.0001172557,0.000107928,0.0001865485,0.00007611952,0.9978874,0.00005953229,0.0004990701],"genre_scores_gemma":[0.0001801791,0.000126589,0.00003404344,0.0001144033,0.000491208,0.000007928813,0.998376,0.00001983571,0.0006498654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03880951,"threshold_uncertainty_score":0.9620507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006051296748769138,"score_gpt":0.3256396925433847,"score_spread":0.3195883957946155,"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."}}