{"id":"W1915119053","doi":"10.24908/pceea.v0i0.4891","title":"Teaching Information Literacy Skills to Senior Undergraduate Engineering Students","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information literacy; Curriculum; Lifelong learning; Set (abstract data type); Workforce; Medical education; Engineering education; Literacy; Computer science; Engineering ethics; Psychology; Engineering; Engineering management; Pedagogy; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001931401,0.0006311481,0.0005293652,0.001638815,0.002437455,0.004024812,0.0007739714,0.001220519,0.01046999],"category_scores_gemma":[0.005965702,0.0004998273,0.000469462,0.001014982,0.0007108831,0.001308439,0.002845355,0.001933317,0.002798146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794536,"about_ca_system_score_gemma":0.007370782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001977676,"about_ca_topic_score_gemma":0.008321833,"domain_scores_codex":[0.9990393,0.0001244665,0.00006285964,0.00007550239,0.0002750825,0.0004227869],"domain_scores_gemma":[0.9929027,0.0006907006,0.0004406464,0.000204226,0.001568464,0.0041933],"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":[0.0003175797,0.02330231,0.07563601,0.0009197905,0.00003380298,0.001917504,0.04781068,0.0006307803,0.0205616,0.003850771,0.06595325,0.7590658],"study_design_scores_gemma":[0.0003890479,0.01541229,0.2778404,0.002536402,0.0001496147,0.005611497,0.1213931,0.00384756,0.0364344,0.01619622,0.5199543,0.0002351631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259391,0.001400964,0.005512686,0.007635396,0.0008762163,0.001115082,0.0001740167,0.000513622,0.05683292],"genre_scores_gemma":[0.9170835,0.003420595,0.01915532,0.005690443,0.0003770014,0.0007221259,0.0002854654,0.00006169103,0.05320378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046999,"threshold_uncertainty_score":0.03502554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002330524516235723,"score_gpt":0.2298880512026941,"score_spread":0.2275575266864584,"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."}}