{"id":"W3186531616","doi":"","title":"Grasping numbers: How numerical magnitude affects kinematics of reach to grasp actions","year":2018,"lang":"en","type":"article","venue":"URSCA Proceedings","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Mathematics; Block (permutation group theory); Set (abstract data type); Numeral system; Magnitude (astronomy); Object (grammar); Kinematics; Thumb; Arithmetic; Statistics; Artificial intelligence; Computer science; Geometry; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003422362,0.0002871014,0.0004940445,0.0001844891,0.0001638914,0.0001005612,0.0002956563,0.0001116635,0.0002311663],"category_scores_gemma":[0.002765579,0.0002494165,0.0001287626,0.0006938993,0.0001482249,0.0002790245,0.0002174141,0.0001818465,0.0002133667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000856437,"about_ca_system_score_gemma":0.00003562405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007547603,"about_ca_topic_score_gemma":0.000005998921,"domain_scores_codex":[0.9982498,0.00001130326,0.0003571689,0.0003703005,0.0005517513,0.000459621],"domain_scores_gemma":[0.9984409,0.0003616962,0.0002212777,0.0001612326,0.0005570753,0.0002578098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002948969,0.003596033,0.005430673,0.004831448,0.0007213686,0.00002968559,0.0247504,4.346182e-7,0.1115533,0.5125409,0.3213701,0.01488077],"study_design_scores_gemma":[0.001767621,0.002035976,0.008283125,0.003221479,0.000482234,0.0002119974,0.008287208,0.0003701239,0.3686478,0.6000534,0.004844762,0.001794214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8707791,0.00001358907,0.02311969,0.003421824,0.0002385663,0.001142757,0.0000080091,0.000357326,0.1009191],"genre_scores_gemma":[0.8880519,0.00000288402,0.1103062,0.0002603249,0.0002383637,0.00006053593,0.000002470967,0.00004948287,0.001027901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3165253,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05338346932665444,"score_gpt":0.332677576827842,"score_spread":0.2792941075011875,"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."}}