{"id":"W2885623018","doi":"10.24908/pceea.v0i0.7329","title":"USING THE CLA+ TO TRACK DEVELOPMENT OF COGNITIVE SKILLS FROM FIRST TO THIRD YEAR: ACCESSIBILITY AND FACTORS FOR SUCCESS","year":2017,"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":"Queen's University","funders":"","keywords":"Curriculum; Accreditation; Argument (complex analysis); Cognition; Cognitive skill; Test (biology); Mathematics education; Psychology; Relevance (law); Cognitive development; Medical education; Pedagogy; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006215546,0.0003811994,0.0003554171,0.002167392,0.0008279297,0.001496576,0.0007750874,0.0005056211,0.001709596],"category_scores_gemma":[0.01812052,0.0002438201,0.0006021833,0.0008676597,0.0003438949,0.001220606,0.001966224,0.001161973,0.0006464617],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007687195,"about_ca_system_score_gemma":0.002038472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027003,"about_ca_topic_score_gemma":0.02043414,"domain_scores_codex":[0.9976287,0.0006424721,0.0002351955,0.0003042144,0.0007993403,0.0003899957],"domain_scores_gemma":[0.9754171,0.006320145,0.0069419,0.001176453,0.006906282,0.003238123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001273872,0.0005902235,0.9704214,0.00002059489,0.00002591799,0.00003924174,0.001394782,0.0001385081,0.0004370158,0.00005700505,0.0004033409,0.02634446],"study_design_scores_gemma":[0.000009959094,0.001203594,0.9948479,0.00001491302,0.00001414316,0.00005981894,0.0008819975,0.0005356321,0.001058128,0.00007514462,0.001280416,0.00001838648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998087,0.00003758113,0.0004485007,0.00004890991,0.000008578217,0.00005806297,0.0001837749,0.00003220572,0.001095337],"genre_scores_gemma":[0.9962634,0.00003664684,0.001390207,0.00002581488,0.000006363203,0.0001779283,0.0005639908,0.00001275201,0.001522887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9992313,"threshold_uncertainty_score":0.03287131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525669665753226,"score_gpt":0.2618706601244999,"score_spread":0.2466139634669677,"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."}}