{"id":"W1779636612","doi":"10.24908/pceea.v0i0.5927","title":"OUT-OF-CLASS LEARNING OPPORTUNITIES FOR ENGINEERING STUDENTS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Class (philosophy); Mathematics education; Computer science; Engineering; Psychology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001947429,0.000829765,0.001073522,0.001386471,0.003045085,0.003068892,0.002891846,0.00198276,0.3817216],"category_scores_gemma":[0.008426713,0.0004478899,0.0008087561,0.001099122,0.0004283789,0.002807498,0.004701057,0.001950894,0.1109561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474479,"about_ca_system_score_gemma":0.003464339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004914627,"about_ca_topic_score_gemma":0.01740363,"domain_scores_codex":[0.9981193,0.0002087805,0.00007949143,0.0002437502,0.0006365142,0.0007121419],"domain_scores_gemma":[0.9856461,0.0009891404,0.0005408681,0.001148935,0.003515626,0.008159385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.002252414,0.004319567,0.004224572,0.00110614,0.00004650223,0.0007134331,0.0005408305,0.0002667918,0.01016228,0.001961648,0.5351263,0.4392795],"study_design_scores_gemma":[0.000461966,0.002455701,0.09714195,0.001519798,0.00006139425,0.001049942,0.002141296,0.001094885,0.010701,0.003530528,0.8797224,0.0001191509],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.175971,0.002820782,0.006717891,0.01513447,0.01052052,0.00151707,0.01407138,0.004245548,0.7690012],"genre_scores_gemma":[0.1945969,0.001217435,0.003285049,0.002082116,0.001043859,0.0009739347,0.005487311,0.0005807341,0.7907326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3817216,"threshold_uncertainty_score":0.881899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437078233642738,"score_gpt":0.2316619972925639,"score_spread":0.2072912149561365,"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."}}