{"id":"W2899124128","doi":"10.1002/cne.24545","title":"The distribution, number, and certain neurochemical identities of infracortical white matter neurons in a lar gibbon (<scp><i>Hylobates lar</i></scp>) brain","year":2018,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Biotechnology and Biological Sciences Research Council; Medical Research Council; Medical Research Council Canada; Leakey Foundation","keywords":"White matter; Parvalbumin; NeuN; Biology; Population; Calretinin; Context (archaeology); Calbindin; Soma; Neuroscience; Neurochemical; Immunostaining; Anatomy; Medicine; Immunohistochemistry; Magnetic resonance imaging","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006507908,0.000210776,0.0003707411,0.00008912726,0.0003002831,0.00008193063,0.0005370021,0.00007158,0.00004152933],"category_scores_gemma":[0.001137062,0.0001354398,0.00007863091,0.0003643011,0.001082428,0.0002447512,0.0001794021,0.0006592969,0.0000449772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009026633,"about_ca_system_score_gemma":0.00005496155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002131602,"about_ca_topic_score_gemma":0.00002165899,"domain_scores_codex":[0.9961163,0.002060568,0.0008453435,0.0002401484,0.0003905135,0.0003470909],"domain_scores_gemma":[0.995048,0.003759985,0.000592557,0.0002772177,0.000217602,0.0001046291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004888244,0.0001251327,0.008555358,0.0000106754,0.000009627054,0.00005936396,0.001717069,0.0002155885,0.9550465,0.009674828,0.02407088,0.00002618993],"study_design_scores_gemma":[0.001216097,0.001304827,0.05147639,0.00001311139,0.00003795918,0.002321526,0.0001964424,0.003604891,0.9215131,0.008421284,0.009786271,0.0001081546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894572,0.00003384078,0.000653182,0.008763417,0.0004274129,0.0001998007,0.00001543326,0.00001367031,0.000436035],"genre_scores_gemma":[0.9941645,0.0001187063,0.00001288434,0.005299575,0.0001421374,0.000004621481,0.000001148403,0.0000155301,0.0002409095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04292103,"threshold_uncertainty_score":0.5523073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116354371406021,"score_gpt":0.2864403481847637,"score_spread":0.2652768044707035,"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."}}