{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732083,0.0001848284,0.0001146492,0.0009096066,0.0003169553,0.0005745701,0.0002892133,0.0004120125,0.003136741],"category_scores_gemma":[0.000737105,0.0001497861,0.00009379481,0.0005805981,0.0003687728,0.0008593829,0.0003559476,0.0002777239,0.000187052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293979,"about_ca_system_score_gemma":0.0003290934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674321,"about_ca_topic_score_gemma":0.004115208,"domain_scores_codex":[0.9999719,0.000005860111,0.000002154454,0.000007248497,0.000005340575,0.000007551735],"domain_scores_gemma":[0.9997796,0.00008962939,0.00004677045,0.00001911963,0.00002253935,0.00004239255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004828378,0.001050811,0.4819667,0.0006597125,0.0004013959,0.006521149,0.002227315,0.004147481,0.2489479,0.004277018,0.003576455,0.2413957],"study_design_scores_gemma":[0.0001073204,0.0007977062,0.9552896,0.00008936484,0.0001178778,0.00496509,0.00199613,0.006720384,0.01827576,0.009508377,0.002095553,0.00003690331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967768,0.000262072,0.001333394,0.0001558533,0.000009556273,0.00002851719,0.0001878835,0.00001542974,0.001230502],"genre_scores_gemma":[0.9964869,0.0003558011,0.001762418,0.00008096591,0.00003011709,0.00005052087,0.0001134535,0.00001261871,0.001107251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003136741,"threshold_uncertainty_score":0.01049352,"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."}}