{"id":"W3180284573","doi":"10.24908/pceea.vi0.14847","title":"STRIVING FOR TEACHING EXCELLENCE IN REMOTE COURSE DELIVERY: AN INTRANET RESOURCE HUB FOR ENGINEERING FACULTY","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Intranet; Excellence; Resource (disambiguation); Engineering; Knowledge management; Engineering management; Computer science; The Internet; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006766334,0.0002665472,0.0002798519,0.0002745844,0.0001542761,0.0001284904,0.0003621845,0.0002237763,0.000006082264],"category_scores_gemma":[0.001422232,0.0003280562,0.0001178635,0.0003989405,0.00001047335,0.0003588734,0.00002684645,0.0004593916,0.000001076145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002509679,"about_ca_system_score_gemma":0.0003128989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115579,"about_ca_topic_score_gemma":0.001660623,"domain_scores_codex":[0.9984362,0.000007813032,0.000423392,0.0003052443,0.000257766,0.0005695678],"domain_scores_gemma":[0.9989961,0.0001656552,0.000141759,0.000160407,0.0003082838,0.0002277395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006966859,0.00008429596,0.006450322,0.001295989,0.0001663445,5.038743e-7,0.004298719,0.8720905,0.09884153,0.003665017,0.007754174,0.005345633],"study_design_scores_gemma":[0.0006549095,0.00003848678,0.01249735,0.0007805456,0.00007184713,0.000009923953,0.001620578,0.8441616,0.03005324,0.000060773,0.1093189,0.0007318623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879341,0.0006997732,0.004605783,0.001175389,0.002382708,0.001312047,0.0001740153,0.0005543655,0.001161808],"genre_scores_gemma":[0.967763,0.00001089847,0.03111075,0.00005771117,0.0002972168,0.0001177786,0.00009149346,0.000128126,0.0004230141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1015647,"threshold_uncertainty_score":0.9999171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006648229242150496,"score_gpt":0.231007848389965,"score_spread":0.2243596191478145,"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."}}