{"id":"W2118978090","doi":"10.24908/pceea.v0i0.3689","title":"A PRACTICAL APPROACH TO DEVELOP INFORMATION SEEKING SKILLS OF ENGINEERING STUDENTS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Context (archaeology); Computer science; Order (exchange); Product (mathematics); Engineering design process; Management science; Engineering management; Knowledge management; Engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004975388,0.0002184506,0.0002265499,0.0005865988,0.00006322881,0.00007269304,0.0004035057,0.0001654652,0.00001909578],"category_scores_gemma":[0.001304887,0.0002292075,0.0000616908,0.001389195,0.000007640227,0.0004939642,0.00004438615,0.0002563544,0.00001890996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175241,"about_ca_system_score_gemma":0.0005525436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007742156,"about_ca_topic_score_gemma":0.0001373429,"domain_scores_codex":[0.9984478,0.000004043421,0.0005403535,0.0001408731,0.0004987764,0.0003681383],"domain_scores_gemma":[0.9984754,0.00003088233,0.0002052234,0.0001292724,0.0008652654,0.0002939935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001825722,0.001732282,0.3971595,0.007332406,0.002003532,4.300655e-7,0.1122151,0.117261,0.01364038,0.0873033,0.254941,0.006392864],"study_design_scores_gemma":[0.0004497585,0.00003235693,0.8938186,0.0006446859,0.0001188284,0.00001880744,0.001569533,0.01977695,0.01863294,0.00004318585,0.0638284,0.00106601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423264,0.00008541613,0.01167617,0.0008927304,0.007486442,0.002116394,0.00005477769,0.0008088044,0.03455283],"genre_scores_gemma":[0.9569362,0.000007546674,0.04246246,0.0001004885,0.00006863982,0.0001399742,0.00001243735,0.00004289001,0.0002294013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.496659,"threshold_uncertainty_score":0.934681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007994951193149365,"score_gpt":0.2116363102447395,"score_spread":0.2036413590515901,"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."}}