{"id":"W3001627761","doi":"10.24908/pceea.vi0.13817","title":"UTILITY AND IMPLEMENTATION OF REFLECTION IN DISTINCT TYPES OF ENGINEERING COURSES","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Class (philosophy); Subject matter; Reflection (computer programming); Context (archaeology); Mathematics education; Subject (documents); Computer science; Psychology; Pedagogy; Artificial intelligence; Curriculum; Programming language; World Wide Web; Geography","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":[0.0009301266,0.00007030608,0.0001333873,0.0002756873,0.00006078511,0.00002695277,0.0001288528,0.00008781719,0.00004113097],"category_scores_gemma":[0.001668766,0.00007704779,0.00003141598,0.0005931808,0.00002361025,0.0003615304,0.00001244941,0.0001175885,8.564075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096984,"about_ca_system_score_gemma":0.0008413944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06698881,"about_ca_topic_score_gemma":0.06291728,"domain_scores_codex":[0.9991691,0.00001793197,0.0002696518,0.0001215335,0.0002630602,0.000158738],"domain_scores_gemma":[0.9987704,0.0001239979,0.0004780355,0.0000573167,0.0005094038,0.00006086084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002214833,0.00002610225,0.9778759,0.0001439936,0.00001941393,2.342284e-9,0.006123777,0.0001048472,0.003515363,0.01063274,0.0001574742,0.001398175],"study_design_scores_gemma":[0.00009807476,0.00001283642,0.9863125,0.00007782254,0.0000212626,1.985288e-7,0.00362618,0.0003540245,0.004639908,0.0002404703,0.004540504,0.0000762285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912206,0.00006055275,0.00000461432,0.001073593,0.0008111302,0.0003518172,0.000006891281,0.0000119715,0.006458831],"genre_scores_gemma":[0.9991202,0.00002251723,0.0004992999,0.00001135522,0.00005708324,0.00001595488,0.00000258842,0.000009440253,0.000261526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01039227,"threshold_uncertainty_score":0.954182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009959425046018733,"score_gpt":0.3197181145475521,"score_spread":0.3097586895015333,"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."}}