{"id":"W4410195494","doi":"10.1016/j.cell.2026.03.051","title":"A spatial code governs olfactory receptor choice and aligns sensory maps in the nose and brain","year":2025,"lang":"en","type":"preprint","venue":"Cell","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"Office of Extramural Research, National Institutes of Health; National Institute on Deafness and Other Communication Disorders","keywords":"Sensory system; Code (set theory); Olfactory system; Neuroscience; Nose; Olfactory receptor; Computer science; Biology; Anatomy; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002860944,0.0003116961,0.0003390355,0.0001004739,0.0002271575,0.0001056338,0.0002458559,0.0002270698,0.00005383835],"category_scores_gemma":[0.0007279264,0.0002446737,0.00006964571,0.00009917853,0.000263383,0.00006331888,0.0005323683,0.0007838331,0.00002848426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005005469,"about_ca_system_score_gemma":0.00006620496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206725,"about_ca_topic_score_gemma":0.0004966722,"domain_scores_codex":[0.9978188,0.0005958278,0.0002774801,0.0007828525,0.0002604287,0.0002646516],"domain_scores_gemma":[0.9974308,0.001899328,0.0001547653,0.0004259929,0.00002515242,0.00006395965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006456105,0.001153045,0.0542784,0.004474602,0.0001142066,0.0002234144,0.06418154,0.0003141105,0.710777,0.001067506,0.1563437,0.006426764],"study_design_scores_gemma":[0.001903585,0.0001708129,0.05739412,0.0002815347,0.00009391328,0.00001680424,0.002326856,0.00034473,0.0771782,0.0006541309,0.8585622,0.001073091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798272,0.0006256874,0.00005375012,0.002318937,0.001630999,0.0006558734,0.00092181,0.00007185156,0.01389387],"genre_scores_gemma":[0.9785702,0.0006579864,0.00002192342,0.003514305,0.0002337146,0.00003697873,0.00001150575,0.0000164744,0.01693686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7022185,"threshold_uncertainty_score":0.9977505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270268986921953,"score_gpt":0.2831630558834187,"score_spread":0.1561361571912234,"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."}}