{"id":"W1955051096","doi":"10.24908/pceea.v0i0.5849","title":"COURSE SCHEDULING ACCORDING TO STUDENT STRESS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"China Scholarship Council","keywords":"Scheduling (production processes); Stress (linguistics); Mathematics education; Computer science; Psychology; Engineering; Operations management; Linguistics","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":[0.003493283,0.0001513317,0.0002319236,0.0005755514,0.0002623619,0.0005143367,0.0009545946,0.0001274178,0.00001854653],"category_scores_gemma":[0.01834521,0.000132912,0.0001130206,0.001841711,0.00001533711,0.0003487561,0.00008580501,0.0002466654,0.0001106205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984234,"about_ca_system_score_gemma":0.001814221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004936324,"about_ca_topic_score_gemma":0.004558468,"domain_scores_codex":[0.9973422,0.00001682182,0.0005057766,0.0003176701,0.001389889,0.0004276206],"domain_scores_gemma":[0.9957959,0.0002126703,0.0004463702,0.0002303842,0.002624729,0.0006899466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003557479,0.0001326774,0.8805803,0.00001833324,0.00009729667,1.019474e-7,0.004009461,0.05471637,0.0006164697,0.01301932,0.04517609,0.001630037],"study_design_scores_gemma":[0.0009106878,0.00008668606,0.8275194,0.0005564966,0.0002636397,0.00001048722,0.03849573,0.0244467,0.005232146,0.004772787,0.09653173,0.001173546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753852,0.0001291017,0.0002079534,0.01547363,0.00407508,0.0003503647,0.00002975551,0.00008446213,0.004264465],"genre_scores_gemma":[0.9908697,0.000001183348,0.005116241,0.0003607064,0.0003422963,0.00003734519,0.000002591234,0.00002289833,0.003247009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05306092,"threshold_uncertainty_score":0.9899237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05356629890066236,"score_gpt":0.3483626738669052,"score_spread":0.2947963749662428,"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."}}