{"id":"W3097164936","doi":"10.1002/ase.2029","title":"Correlating Spatial Ability With Anatomy Assessment Performance: A Meta‐Analysis","year":2020,"lang":"en","type":"review","venue":"Anatomical Sciences Education","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Spatial ability; Test (biology); Disadvantage; Curriculum; Aptitude; Psychology; Meta-analysis; Spatial learning; Field (mathematics); Medical education; Applied psychology; Medicine; Computer science; Developmental psychology; Pathology; Cognition; Artificial intelligence; Pedagogy; Biology; Ecology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003884387,0.0003105864,0.001180024,0.0003090326,0.0001908062,0.0001341774,0.0002704777,0.0001520577,0.0004075901],"category_scores_gemma":[0.00002708443,0.0002204781,0.0005304936,0.002720153,0.0001387881,0.0002583519,0.00002769347,0.0003961138,0.00004882032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723816,"about_ca_system_score_gemma":0.0008082265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001534827,"about_ca_topic_score_gemma":0.00006503887,"domain_scores_codex":[0.9982421,0.0001255035,0.0004844059,0.0004669907,0.000451805,0.0002292365],"domain_scores_gemma":[0.9992348,0.0001578456,0.0001897683,0.0001722429,0.00008509217,0.0001602742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[8.509631e-7,0.00003359167,0.0001281498,0.0009894896,0.005042589,3.389657e-7,0.00003962632,0.0003988447,1.919138e-7,0.000158465,0.00005345972,0.9931544],"study_design_scores_gemma":[0.0001690859,0.0002033829,0.0006389766,0.000892442,0.2300026,0.00001567833,0.0001642708,0.2282318,0.00001128884,0.0001350116,0.5382124,0.001323036],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006280495,0.9905941,0.004207076,0.00008225362,0.0003576228,0.0007052291,0.00002118337,0.0002192744,0.003185168],"genre_scores_gemma":[0.1073186,0.8897246,0.002018991,0.00006873415,0.0001771274,0.0003225476,0.0003338981,0.00002737898,0.000008148063],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9918314,"threshold_uncertainty_score":0.8990834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04530270502276457,"score_gpt":0.3655272031116912,"score_spread":0.3202244980889266,"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."}}