{"id":"W4400411137","doi":"10.1109/educon60312.2024.10578860","title":"Causality Exploration in Modeling Engineering Student Satisfaction","year":2024,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Causality (physics); Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003750107,0.0007407212,0.0007237956,0.002319851,0.0005425367,0.001453744,0.001249108,0.001199707,0.005400288],"category_scores_gemma":[0.01699406,0.0006260145,0.001315354,0.002380248,0.001295591,0.002513836,0.001560695,0.001712426,0.0002986809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084464,"about_ca_system_score_gemma":0.001648344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007280043,"about_ca_topic_score_gemma":0.005882713,"domain_scores_codex":[0.9976038,0.001697709,0.00007553201,0.0002387077,0.0002428357,0.0001414507],"domain_scores_gemma":[0.9888864,0.009546715,0.0007147514,0.0003198914,0.0003400399,0.0001921611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001326367,0.0002358422,0.02949849,0.00009046571,0.0001329061,0.0002197821,0.0004713048,0.7973256,0.0003387917,0.1431164,0.0005988558,0.02783894],"study_design_scores_gemma":[0.00001329096,0.00002782646,0.0008816104,0.00001406118,0.00001344299,0.00002665528,0.00005376499,0.9402394,0.00006196953,0.05828326,0.0003753652,0.000009313287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1511106,0.0003129037,0.8425012,0.001236179,0.00004764064,0.0001181843,0.0003998992,0.0002847643,0.003988501],"genre_scores_gemma":[0.9384353,0.000286781,0.05816905,0.0001240439,0.00005186615,0.000251114,0.0003738728,0.00004146242,0.00226646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007280043,"threshold_uncertainty_score":0.01983267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716796594533852,"score_gpt":0.3068785731152059,"score_spread":0.2797106071698674,"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."}}