{"id":"W1980339299","doi":"10.2304/plat.2011.10.1.32","title":"Incorporating Active Learning Techniques in an Introduction to Psychology Course","year":2011,"lang":"en","type":"article","venue":"Psychology Learning & Teaching","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Section (typography); Active learning (machine learning); Mathematics education; Course (navigation); Psychology; Computer science; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01563334,0.0003081362,0.0004426709,0.0008092888,0.001516669,0.00006634595,0.0006484387,0.0004445894,0.0002196443],"category_scores_gemma":[0.004347423,0.0003555024,0.00006578548,0.0009239,0.0004655032,0.0007496121,0.0001133995,0.00486496,0.00006672083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002771184,"about_ca_system_score_gemma":0.0001022878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296428,"about_ca_topic_score_gemma":0.0007249918,"domain_scores_codex":[0.9857651,0.01139152,0.0005972725,0.001074507,0.0003122232,0.0008593876],"domain_scores_gemma":[0.9984482,0.0002758052,0.0004808062,0.0004333315,0.0001791111,0.0001827244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002607609,0.0005219175,0.3005588,0.000004795789,0.00003131612,0.00002914222,0.1591672,0.00006814065,0.02469267,0.03660403,0.0004505179,0.4776107],"study_design_scores_gemma":[0.001551066,0.004801988,0.6288722,0.0001557268,0.0000626792,0.00007931803,0.05383061,0.0001498547,0.002190304,0.02044431,0.2858434,0.002018584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8068202,0.00001522269,0.07661516,0.008200776,0.001106837,0.000510205,4.838042e-7,0.001088151,0.105643],"genre_scores_gemma":[0.8416834,0.000004387065,0.1550923,0.001520967,0.001117315,0.00007487551,0.00001050821,0.00006367074,0.0004324894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4755921,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08590962958737045,"score_gpt":0.4742979776127039,"score_spread":0.3883883480253335,"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."}}