{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006963129,0.0002731823,0.0002567674,0.0007756674,0.0005346809,0.0009621722,0.0003391464,0.0004761093,0.006598383],"category_scores_gemma":[0.004411171,0.000153402,0.0003579239,0.0005661851,0.0006552409,0.0007374964,0.000769985,0.0003848954,0.0005189652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220157,"about_ca_system_score_gemma":0.0002770316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004942615,"about_ca_topic_score_gemma":0.00777923,"domain_scores_codex":[0.9997066,0.0000511313,0.00001740048,0.0001036966,0.00005039372,0.00007074155],"domain_scores_gemma":[0.9982007,0.0005341396,0.0006441668,0.0001690796,0.0001331111,0.0003188313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001674473,0.00005611821,0.9892658,0.00001526437,0.0000295068,0.00007965964,0.001374645,0.00002705642,0.000792545,0.0003029029,0.0001609051,0.007728214],"study_design_scores_gemma":[0.00000573411,0.00009608861,0.9972331,0.00001627416,0.00001736258,0.00017374,0.001130885,0.000151952,0.0001923992,0.000565818,0.0004111255,0.000005478659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986836,0.0001563196,0.0001332676,0.00009040595,0.000007683619,0.000003102799,0.0001264061,0.000001946265,0.0007971616],"genre_scores_gemma":[0.9993615,0.00004130811,0.00006452374,0.0000191748,0.000005352254,0.000003322004,0.00007999199,0.000002250811,0.0004227073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006598383,"threshold_uncertainty_score":0.02207381,"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."}}