{"id":"W3110969133","doi":"10.1145/3429551.3429571","title":"Application of Integer Programming in Maximizing the Number of Industrial Engineering Students Allowed to Attend Face-to-Face classes for Blended Learning in Mapúa University during the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blended learning; Solver; Face-to-face; Class (philosophy); Computer science; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Face (sociological concept); Mathematics education; Online learning; Integer programming; Pandemic; Multimedia; Medical education; Mathematics; Artificial intelligence; Educational technology; Medicine; Programming language; Algorithm; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002654366,0.0001137987,0.0002640667,0.0002043729,0.0001322616,0.00006300468,0.0008637617,0.00007980859,0.00001449411],"category_scores_gemma":[0.005857049,0.00007742992,0.00008153242,0.001906238,0.0000394756,0.0001140977,0.0003003282,0.0003207856,0.00001149146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264198,"about_ca_system_score_gemma":0.0001275992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003768116,"about_ca_topic_score_gemma":0.0002682266,"domain_scores_codex":[0.998175,0.0001715978,0.0004932641,0.0003526675,0.0005500056,0.0002574631],"domain_scores_gemma":[0.9975148,0.001843603,0.0001741109,0.0002409321,0.000104039,0.0001225472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001624577,0.00003615033,0.6404352,0.00001159917,0.00002127108,6.322506e-7,0.004056776,0.3496792,0.002529702,0.0002358411,0.00002451007,0.002806663],"study_design_scores_gemma":[0.0124218,0.0003676437,0.3700126,0.0003167783,0.0001680251,0.0000185102,0.1878705,0.3620494,0.006177277,0.0005446299,0.05880669,0.001246194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8282679,0.000006700656,0.1674843,0.003368703,0.00004561097,0.0007589446,0.000004632897,0.00004024204,0.00002299148],"genre_scores_gemma":[0.9964322,0.000002023943,0.003242807,0.0001085501,0.00002674892,0.00002590263,0.00000152463,0.00000875018,0.0001514582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704226,"threshold_uncertainty_score":0.7011858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504342144214315,"score_gpt":0.3879183015105184,"score_spread":0.237484087089087,"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."}}