{"id":"W2995057911","doi":"10.1002/hbm.24897","title":"A comes before B, like 1 comes before 2. Is the parietal cortex sensitive to ordinal relationships in both numbers and letters? An fMRI‐adaptation study","year":2019,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Jacobs Foundation; Canada Research Chairs","keywords":"Numerosity adaptation effect; Intraparietal sulcus; Psychology; Arabic numerals; Posterior parietal cortex; Parietal lobe; Cognitive psychology; Perception; Functional magnetic resonance imaging; Representation (politics); Neuroscience; Adaptation (eye); Superior parietal lobule; Parametric statistics; Arithmetic; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00103642,0.0002466892,0.0003672635,0.0001633073,0.0004285438,0.000147268,0.0001496482,0.00006080854,0.0001144494],"category_scores_gemma":[0.0003174279,0.0001922269,0.00005808851,0.0002818292,0.00009360227,0.0002858641,0.0001654101,0.0003184237,0.00007265533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009473525,"about_ca_system_score_gemma":0.00002214326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001087,"about_ca_topic_score_gemma":0.002765143,"domain_scores_codex":[0.9982125,0.0002502301,0.0004428782,0.0004053884,0.0003677489,0.0003212868],"domain_scores_gemma":[0.9984527,0.0009652381,0.0001414901,0.0002667168,0.0000679143,0.0001059555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008281679,0.0009883125,0.3501387,0.0002897255,0.0003293382,0.0001065213,0.5795267,0.000008724877,0.002337145,0.05960564,0.00398755,0.002598911],"study_design_scores_gemma":[0.0008981936,0.0002566371,0.8550165,0.0002491755,0.00002804469,0.00001835954,0.08086701,0.0003784769,0.000006947504,0.06190358,0.000111364,0.0002657398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992847,0.000003584315,0.001062885,0.003017226,0.00004629152,0.001533822,0.000008982356,0.00006339218,0.001416869],"genre_scores_gemma":[0.9947609,2.296705e-7,0.00232697,0.001973909,0.00004450325,0.00004412193,0.00002196091,0.00003089799,0.0007965506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5048778,"threshold_uncertainty_score":0.7838786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05092137384480862,"score_gpt":0.3031577015032637,"score_spread":0.2522363276584551,"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."}}