{"id":"W3173150344","doi":"10.24908/pceea.vi0.14930","title":"DEVELOPING A SELF-PACED COURSE MODULE IN INFORMATION-FINDING AND LITERACY SKILLS FOR COURSEBASED MASTERS' STUDENTS","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Information literacy; Class (philosophy); Plan (archaeology); Process (computing); Medical education; Unit (ring theory); Computer science; Asynchronous communication; Mathematics education; Literacy; Psychology; Pedagogy; World Wide Web; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001468867,0.0007733687,0.0003910131,0.0009263165,0.001029575,0.001170977,0.001459283,0.0006855407,0.02923935],"category_scores_gemma":[0.003654616,0.0003150174,0.0004319864,0.0003992194,0.0003534855,0.0006252984,0.001480055,0.0009122603,0.01165454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613112,"about_ca_system_score_gemma":0.005542379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004632466,"about_ca_topic_score_gemma":0.01689939,"domain_scores_codex":[0.9995663,0.00007102505,0.00002188209,0.00008017611,0.0001251784,0.0001354049],"domain_scores_gemma":[0.9965796,0.0003944504,0.0001387514,0.0001874669,0.0009168561,0.001782855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005167464,0.02799283,0.02105102,0.0004547065,0.00001258722,0.00061272,0.008468767,0.001195758,0.04684838,0.001373691,0.1038143,0.7876585],"study_design_scores_gemma":[0.0008648208,0.01764271,0.2618728,0.0004930421,0.00007771839,0.00130395,0.009523837,0.009227439,0.07494079,0.00384232,0.6200005,0.0002100637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8549349,0.000178591,0.04056263,0.002038965,0.0009736468,0.01406894,0.002354623,0.004221626,0.0806662],"genre_scores_gemma":[0.4337857,0.0005277972,0.2710603,0.00176686,0.0002901945,0.009537206,0.003974702,0.0005745221,0.2784828],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02923935,"threshold_uncertainty_score":0.09781539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005532878192756978,"score_gpt":0.2668783548259054,"score_spread":0.2613454766331484,"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."}}