{"id":"W4416387904","doi":"10.1016/j.paid.2025.113552","title":"Visual imagery and STEM occupational attainment: Gender matters","year":2025,"lang":"en","type":"article","venue":"Personality and Individual Differences","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Toronto Metropolitan University; Baycrest Hospital","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Object (grammar); Mental image; Spatial ability; Association (psychology); Stem cell; Coding (social sciences)","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":[0.0001067307,0.00009900185,0.0001035176,0.0000636413,0.0001135526,0.00009784896,0.00003808374,0.00004969875,0.000114586],"category_scores_gemma":[0.000005687307,0.00009210967,0.00001964092,0.00007754877,0.00008342334,0.0001302847,0.00002579103,0.00008306982,0.000004318546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000125333,"about_ca_system_score_gemma":0.00001145307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002065415,"about_ca_topic_score_gemma":0.00000820419,"domain_scores_codex":[0.9994506,0.00003228393,0.0001203126,0.000135319,0.0001522862,0.0001092416],"domain_scores_gemma":[0.9998085,0.00008069086,0.00001575447,0.00003095176,0.00001892436,0.00004512359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006209785,0.0000888458,0.8871604,0.0006991011,0.0003396768,0.000002233129,0.004778152,0.000013366,0.0009201489,0.005775809,0.00349597,0.09666419],"study_design_scores_gemma":[0.0002457731,0.00001492562,0.9951956,0.00003661191,0.00003151297,0.000001534543,0.0006457999,0.002069283,0.0003315515,0.001091629,0.0002214313,0.0001143018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99656,0.0005081665,0.001115788,0.0003075931,0.0001099564,0.00007538951,0.00007814851,0.00006660355,0.001178389],"genre_scores_gemma":[0.9989364,0.00008831085,0.00007390258,0.0007368934,0.00003208729,0.00001433812,0.00005799889,0.000003710122,0.00005642827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080352,"threshold_uncertainty_score":0.3756123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0487012781315402,"score_gpt":0.2796378977288533,"score_spread":0.2309366195973131,"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."}}