{"id":"W4403764012","doi":"10.24908/pceea.2023.17105","title":"The Cognitive Science of PowerPoint Part III: Pointing out Cognitive Biases","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognition; Psychology; Cognitive psychology; Computer science; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001154965,0.000148856,0.0001552482,0.0003305034,0.0004140963,0.0002258902,0.0003091187,0.00009264606,0.00009161875],"category_scores_gemma":[0.01000567,0.000116847,0.0000950194,0.001057782,0.0001732565,0.0002486764,0.00004324736,0.0003224108,0.00004316976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005288006,"about_ca_system_score_gemma":0.001274638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671015,"about_ca_topic_score_gemma":0.001357711,"domain_scores_codex":[0.9985588,0.00001454178,0.0003296928,0.0002876761,0.0004105099,0.0003987612],"domain_scores_gemma":[0.9967288,0.0008014181,0.000353265,0.00006082719,0.001914589,0.0001410689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002012118,0.00101351,0.1927672,0.002324223,0.003344989,0.000004001096,0.1764799,0.0001213983,0.01541233,0.3054151,0.1146573,0.1882588],"study_design_scores_gemma":[0.001831813,0.0005338839,0.6601199,0.0189922,0.001293804,0.00005806283,0.1275461,0.002652152,0.09268691,0.003839261,0.08832639,0.00211952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938737,0.001308331,0.00003578313,0.004439397,0.005258146,0.0005899155,0.00008364593,0.0001332412,0.04941449],"genre_scores_gemma":[0.9917641,0.00001579028,0.00001825764,0.0001762645,0.0002301496,0.00008541303,0.000006402339,0.00002684937,0.007676833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4673526,"threshold_uncertainty_score":0.9983335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891955401806587,"score_gpt":0.3098860108173543,"score_spread":0.2909664567992885,"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."}}