{"id":"W2886066641","doi":"10.24908/pceea.v0i0.10509","title":"Re-engaging Students by Teaching from the Middle and Back of a 500-seat Lecture Hall","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Whiteboard; Interactive whiteboard; Lecture hall; Computer science; Multimedia; Front (military); Variety (cybernetics); Tablet pc; Mathematics education; Engineering; Psychology; Artificial intelligence; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008944715,0.000127704,0.0001338111,0.0001137414,0.0003053408,0.0002523614,0.0009321854,0.0001029789,0.00001868747],"category_scores_gemma":[0.001678552,0.000107982,0.00004286438,0.0003482909,0.0000319188,0.0003205198,0.00009479305,0.000342409,0.000007594565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000820138,"about_ca_system_score_gemma":0.0003275798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01606827,"about_ca_topic_score_gemma":0.00333635,"domain_scores_codex":[0.9988446,0.00003150756,0.0002455443,0.0002449711,0.0003988711,0.0002344639],"domain_scores_gemma":[0.9986659,0.0001972084,0.0004055278,0.000201066,0.000411651,0.0001186286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002677516,0.0001365723,0.7644263,0.0001576479,0.0001812784,2.548372e-8,0.0635113,0.0002725069,0.007657012,0.006220263,0.1506324,0.006802024],"study_design_scores_gemma":[0.0006057346,0.0001047691,0.8198497,0.0009761991,0.0001221561,0.000004260029,0.004119653,0.02386594,0.01054502,0.002413943,0.1366296,0.0007630488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765068,0.0002644715,0.001529695,0.0164196,0.001951941,0.0004831053,0.00001531455,0.00006622491,0.002762842],"genre_scores_gemma":[0.9914671,0.000004975645,0.006813464,0.0005147551,0.0002443314,0.00002281094,0.000004930123,0.00001776044,0.0009099321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05939164,"threshold_uncertainty_score":0.9904838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007395134226205914,"score_gpt":0.2174897144404662,"score_spread":0.2100945802142603,"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."}}