{"id":"W4237049563","doi":"10.1515/iupac.87.0265","title":"Giant Axon","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","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":[0.0007804392,0.001748958,0.001454912,0.003256052,0.0008357845,0.002795345,0.00263738,0.001960631,0.1043333],"category_scores_gemma":[0.006094985,0.0005527973,0.001313343,0.004754823,0.0003666577,0.001696883,0.002224091,0.001527961,0.1559385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346759,"about_ca_system_score_gemma":0.002678775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394583,"about_ca_topic_score_gemma":0.03389444,"domain_scores_codex":[0.9990079,0.0001198551,0.0001796447,0.0003377003,0.0002275702,0.0001273926],"domain_scores_gemma":[0.9980282,0.0004878862,0.0002845173,0.0004695172,0.0005254673,0.0002043248],"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":[0.0001617022,0.00001420304,0.001292336,0.001730525,0.00004252823,0.0000446028,0.00002576707,0.0002105755,0.0001507015,0.0006591913,0.9890037,0.006664204],"study_design_scores_gemma":[0.0002044036,0.00002012907,0.003814254,0.0007370416,0.00004514828,0.000128167,0.00005269482,0.0002509921,0.0002752661,0.001542762,0.9929059,0.00002328491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001505337,0.0001903948,0.00008477501,0.00006759388,0.00002849677,0.00001504455,0.9975649,0.0003926768,0.001505611],"genre_scores_gemma":[0.0004183392,0.0001679538,0.0003363873,0.00009945457,0.000008397977,0.00006972596,0.9975496,0.00007716187,0.001273005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1043333,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313745533643118,"score_gpt":0.3840051623430888,"score_spread":0.3526306089787771,"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."}}