{"id":"W4254050279","doi":"10.1515/iupac.87.0682","title":"Transsynaptic","year":2016,"lang":"fi","type":"dataset","venue":"IUPAC Standards Online","topic":"Epilepsy research and treatment","field":"Medicine","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; Organic chemistry; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008046964,0.001864095,0.001303865,0.003999571,0.0008860716,0.002948449,0.002385057,0.001812754,0.07523774],"category_scores_gemma":[0.007331886,0.0005083905,0.002383781,0.005754624,0.0004660879,0.00216013,0.002209725,0.001985993,0.08261464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143686,"about_ca_system_score_gemma":0.002550244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01743802,"about_ca_topic_score_gemma":0.03763144,"domain_scores_codex":[0.9986383,0.0001608535,0.0002975515,0.0004366486,0.0002804112,0.0001863099],"domain_scores_gemma":[0.9974432,0.0006471619,0.0004397292,0.0006872662,0.0006181832,0.0001644866],"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":[0.0003469873,0.00003303515,0.003969305,0.003210062,0.0001325325,0.0001052291,0.0000483415,0.0005313868,0.0004000906,0.001895935,0.9744694,0.01485777],"study_design_scores_gemma":[0.0002147283,0.00004257372,0.009410566,0.001235879,0.0001259091,0.0004495812,0.0001119535,0.0005735761,0.0005559943,0.003468376,0.9837648,0.00004600539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004434038,0.0007168459,0.000293267,0.0001153453,0.00008615803,0.0000272199,0.9949498,0.0004540346,0.002913794],"genre_scores_gemma":[0.001508002,0.0004726939,0.0006575403,0.0001647206,0.0000206517,0.0001137757,0.9950504,0.00009218679,0.001920126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9247622,"threshold_uncertainty_score":0.2516953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242402009310547,"score_gpt":0.4342081418469758,"score_spread":0.4117841217538703,"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."}}