{"id":"W7037635390","doi":"","title":"Exploring Engineering Students' Interpretations of Success","year":2020,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Variety (cybernetics); Diversity (politics); Engineering education; Vocational education; Sample (material); Higher education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01818972,0.0006889018,0.0006040136,0.005132256,0.004993279,0.00867572,0.001591547,0.0006251512,0.002434822],"category_scores_gemma":[0.03585955,0.0003557001,0.0004828889,0.002840519,0.006998051,0.002301893,0.006452322,0.001782609,0.0002190664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01258567,"about_ca_system_score_gemma":0.01384676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.204818,"about_ca_topic_score_gemma":0.2620181,"domain_scores_codex":[0.9814949,0.006906218,0.0007584704,0.000844777,0.008231681,0.001764058],"domain_scores_gemma":[0.9711037,0.01568957,0.00229163,0.0007235338,0.007821886,0.0023697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006500624,0.00009288389,0.09701413,0.0001790104,0.00003294403,0.0002009967,0.8586295,0.0001709074,0.00131983,0.007288521,0.001023556,0.03398279],"study_design_scores_gemma":[0.000008444743,0.000134345,0.1121052,0.000216293,0.00002642532,0.0001071757,0.8650272,0.0007742314,0.0008248374,0.002040965,0.01862962,0.0001052643],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781047,0.0001848233,0.002031934,0.000843933,0.00002907646,0.0001115212,0.0001117071,0.00002105405,0.01856126],"genre_scores_gemma":[0.997373,0.0001611616,0.000592266,0.000103999,0.00000446496,0.00005708611,0.00004391616,0.000009723691,0.001654261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.204818,"threshold_uncertainty_score":0.4072517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916296535437035,"score_gpt":0.1796304851751193,"score_spread":0.1604675198207489,"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."}}