{"id":"W4253418444","doi":"10.1515/iupac.87.0428","title":"Neurite Outgrowth","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","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; Neuroscience; Psychology; Chemistry; Linguistics; Data mining; Philosophy; 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":[0.001169144,0.002013889,0.002111231,0.004959628,0.001399424,0.00441289,0.002498946,0.0021949,0.06903272],"category_scores_gemma":[0.005348307,0.0008875327,0.001900801,0.007231829,0.0004820192,0.001631548,0.002161432,0.002788054,0.1110796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035687,"about_ca_system_score_gemma":0.003318516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663393,"about_ca_topic_score_gemma":0.04428849,"domain_scores_codex":[0.9984372,0.0001464969,0.0002955009,0.0004277854,0.0004610461,0.0002318382],"domain_scores_gemma":[0.9968588,0.0007850882,0.0004309108,0.0008749809,0.00080347,0.0002467898],"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":[0.0002995087,0.00006063587,0.003390868,0.004413221,0.0001007525,0.00006130232,0.00005732989,0.0006553683,0.001028357,0.0009353463,0.9773858,0.01161152],"study_design_scores_gemma":[0.0002970332,0.00005938874,0.009569736,0.001004853,0.00008149746,0.0001914961,0.00008707387,0.0006314213,0.001579753,0.002064332,0.9843757,0.00005779653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003044701,0.0003819061,0.000102312,0.00005349467,0.00004390291,0.0000189689,0.9972833,0.0004617952,0.001349791],"genre_scores_gemma":[0.0005298048,0.0002880989,0.0005132001,0.00006780359,0.000007275801,0.0001119138,0.9974349,0.0000618741,0.0009851493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06903272,"threshold_uncertainty_score":0.2309375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124703764596956,"score_gpt":0.382000907550525,"score_spread":0.3695305310908294,"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."}}