{"id":"W4399770805","doi":"10.1016/j.jbvi.2024.e00480","title":"Entrepreneurial neuroanatomy: Exploring gray matter volume in habitual entrepreneurs","year":2024,"lang":"en","type":"article","venue":"Journal of Business Venturing Insights","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Gray (unit); Neuroanatomy; Brain size; Entrepreneurship; Psychology; Voxel-based morphometry; Business; Neuroscience; White matter; Finance; Medicine","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":[0.0002711652,0.0003455342,0.0005030654,0.00116372,0.0001317589,0.0007448486,0.0004613466,0.0000767056,0.0002980027],"category_scores_gemma":[0.0001624299,0.0002743551,0.0002464948,0.001240369,0.00008202148,0.003637418,0.0002663406,0.0004415759,0.0002659093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007956653,"about_ca_system_score_gemma":0.00005572381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002010821,"about_ca_topic_score_gemma":0.00005135167,"domain_scores_codex":[0.9975801,0.00003148644,0.0009392659,0.0004352035,0.0005693952,0.000444578],"domain_scores_gemma":[0.9988958,0.00009188557,0.0004013316,0.0002634274,0.0003126973,0.00003483381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004364892,0.0005944006,0.9339773,0.001995539,0.0003129006,0.005414251,0.00236834,0.01891209,0.002073666,0.003139949,0.01454621,0.01622886],"study_design_scores_gemma":[0.002124591,0.00006308439,0.6641086,0.003999071,0.0003313052,0.0002359661,0.001052568,0.002082763,0.0009852329,0.00454544,0.3193594,0.001111951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856665,0.003188574,0.00005668937,0.001854924,0.007756718,0.0001371269,0.000001015549,0.00008317641,0.001255337],"genre_scores_gemma":[0.9945706,0.0005192037,0.00002680677,0.0004588299,0.00424219,0.00001285957,0.000004187675,0.00005239436,0.0001129748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3048132,"threshold_uncertainty_score":0.9999709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255363261627098,"score_gpt":0.2173789955806882,"score_spread":0.1948253629644172,"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."}}