{"id":"W4394821995","doi":"10.1101/2024.04.11.589135","title":"Individual variability in sensorimotor learning reflects trait-like neurobehavioral subject factors","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Trait; Psychology; Subject (documents); Cognitive psychology; Cognitive science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285272,0.0001618438,0.0003193509,0.0003944355,0.0001560215,0.0004070379,0.0002021142,0.0002803414,0.001048752],"category_scores_gemma":[0.003227687,0.0001066621,0.0001965931,0.0003540308,0.0003955345,0.0002570731,0.0002861322,0.0003432414,0.0001533964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009189306,"about_ca_system_score_gemma":0.0000929587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006970682,"about_ca_topic_score_gemma":0.001191833,"domain_scores_codex":[0.999294,0.0001461613,0.00005729363,0.0003536844,0.0001057668,0.00004304998],"domain_scores_gemma":[0.9980807,0.0008685809,0.0003488405,0.000519086,0.00009315047,0.0000896056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009695201,0.0002588462,0.8012583,0.0001404619,0.001119635,0.0002913413,0.001592885,0.004323171,0.1488753,0.002149654,0.001193241,0.03782776],"study_design_scores_gemma":[0.000004489176,0.0001068025,0.9930202,0.00000361612,0.00004411192,0.0002045182,0.00006138941,0.001873279,0.003122099,0.001156827,0.0003934833,0.000009114867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852367,0.0001543877,0.01245059,0.00005696339,0.00001543863,0.00002825389,0.0006267548,0.00008824952,0.001342634],"genre_scores_gemma":[0.9978622,0.00002769414,0.001249643,0.00002756982,0.000005938307,0.00003301589,0.0004539498,0.00003460306,0.000305499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001285272,"threshold_uncertainty_score":0.006797254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441650788938694,"score_gpt":0.277617899587735,"score_spread":0.233201391698348,"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."}}