{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062306,0.001891914,0.001888496,0.003681827,0.0008990441,0.002923772,0.002542367,0.001978306,0.09149471],"category_scores_gemma":[0.008735643,0.0005152711,0.002408087,0.005402561,0.0003034735,0.001591765,0.002247907,0.001718552,0.09054946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479705,"about_ca_system_score_gemma":0.002482055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162876,"about_ca_topic_score_gemma":0.02937856,"domain_scores_codex":[0.9987223,0.0002060348,0.0002708823,0.0004044215,0.0002616107,0.0001348019],"domain_scores_gemma":[0.9967648,0.0008560451,0.0005553351,0.0007435639,0.0008366384,0.0002436382],"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":[0.0004090701,0.00004004619,0.002844242,0.00460173,0.0002154997,0.00005810024,0.0000366948,0.0004380563,0.0002686494,0.0006955094,0.9789743,0.01141805],"study_design_scores_gemma":[0.0006257955,0.00007163155,0.01107019,0.001955562,0.0003327067,0.0002398458,0.00008528494,0.0003361744,0.0005027531,0.002417943,0.9823,0.00006213879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001875923,0.0003771285,0.00006236661,0.00007164477,0.00003431272,0.00002240749,0.9980322,0.0001706757,0.001041694],"genre_scores_gemma":[0.0005216108,0.000317937,0.0002153406,0.0001283823,0.00001507264,0.0001298099,0.9975466,0.00004099618,0.001084165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09149471,"threshold_uncertainty_score":0.3060803,"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."}}