{"id":"W4383998668","doi":"10.1111/desc.13433","title":"Children dynamically update and extend the interface between number words and perceptual magnitudes","year":2023,"lang":"en","type":"article","venue":"Developmental Science","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Number line; Similarity (geometry); Psychology; Set (abstract data type); Dimension (graph theory); Interface (matter); Artificial intelligence; Cognitive psychology; Computer science; Mathematics; Mathematics education","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":[0.0009031503,0.0001985681,0.0002009459,0.00007774777,0.0005382361,0.0002210816,0.000376369,0.00003993947,0.0002223126],"category_scores_gemma":[0.0004328361,0.0001299173,0.00002289106,0.0006789799,0.001165811,0.0003017509,0.001080518,0.0001524854,0.0004655685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007501242,"about_ca_system_score_gemma":0.00007606003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001088011,"about_ca_topic_score_gemma":0.00002017492,"domain_scores_codex":[0.9982911,0.000029734,0.0002722768,0.0004359953,0.0005273436,0.0004435017],"domain_scores_gemma":[0.9991678,0.0004339942,0.00005392262,0.0001169791,0.00004546443,0.0001818439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005273021,0.000292806,0.4541182,0.0001875535,0.000238264,0.00005427017,0.02631772,2.624271e-7,0.00584797,0.05813543,0.004143484,0.4506114],"study_design_scores_gemma":[0.0002847938,0.00002268245,0.8916577,0.00009546499,0.00001855138,0.0001177631,0.002460439,0.0000404243,0.001548944,0.1032538,0.0001571961,0.000342232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948331,0.00001754514,0.0004469041,0.0007207436,0.00004136355,0.0002884567,0.00001493034,0.0001168558,0.003520091],"genre_scores_gemma":[0.9827387,0.00005491283,0.01657877,0.0001548473,0.00003062692,0.00001645911,0.00000648955,0.00001505215,0.0004041267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4502691,"threshold_uncertainty_score":0.5984097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373574866969088,"score_gpt":0.3277740524898449,"score_spread":0.304038303820154,"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."}}