{"id":"W4239161803","doi":"10.1515/iupac.87.0637","title":"Supratentorial","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0005696249,0.001333844,0.001302528,0.003058942,0.0006866647,0.002120696,0.001992861,0.001209127,0.1207082],"category_scores_gemma":[0.006757204,0.0004082112,0.001383621,0.00501207,0.0003956044,0.001471677,0.001721541,0.001360697,0.103733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354778,"about_ca_system_score_gemma":0.002392019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233067,"about_ca_topic_score_gemma":0.04198539,"domain_scores_codex":[0.9990488,0.0001021438,0.0002151761,0.0003253072,0.0001892533,0.0001193072],"domain_scores_gemma":[0.9977008,0.0006279138,0.0004005157,0.0004299193,0.0006981176,0.0001426896],"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":[0.0004093475,0.00002287106,0.004802449,0.002738481,0.00009120529,0.0001655068,0.00004901965,0.0003915591,0.0002758043,0.001226408,0.9699537,0.0198736],"study_design_scores_gemma":[0.0001699908,0.00002997648,0.01534115,0.001549205,0.00008950824,0.0004413303,0.0001247381,0.0002674742,0.000473038,0.002516191,0.9789601,0.00003730056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004089907,0.000406435,0.0001807505,0.0000775993,0.00004662385,0.00002824292,0.9950825,0.0001909082,0.003577943],"genre_scores_gemma":[0.001810121,0.0004684975,0.0004863159,0.000186089,0.00002344319,0.0001411736,0.9935589,0.00007495621,0.003250515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1207082,"threshold_uncertainty_score":0.4038091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182669836625205,"score_gpt":0.3726171739141882,"score_spread":0.3607904755479362,"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."}}