{"id":"W2147810702","doi":"10.24908/pceea.v0i0.4800","title":"BLURRING THE LINE BETWEEN FOR-CREDIT CURRICULAR AND NOT-FOR-CREDIT EXTRACURRICULAR ENINGEERING LEARNING ENVIRONMENTS","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Engineering education; Globalization; Service-learning; Perspective (graphical); Engineering ethics; Pedagogy; Engineering; Sociology; Mathematics education; Political science; Engineering management; Psychology; Computer 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":[0.005458954,0.0004025178,0.0004708233,0.001111945,0.005662012,0.01093365,0.002225989,0.001696209,0.0166045],"category_scores_gemma":[0.01511885,0.0002731632,0.0002490935,0.001437983,0.007429554,0.003323682,0.01265995,0.003021009,0.002114116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006350429,"about_ca_system_score_gemma":0.01627154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025578,"about_ca_topic_score_gemma":0.08148959,"domain_scores_codex":[0.9917489,0.002415096,0.0003116424,0.00079016,0.003200958,0.001533259],"domain_scores_gemma":[0.9768245,0.004252554,0.001817297,0.002214721,0.002893197,0.01199782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002107291,0.002636018,0.0920385,0.0004030504,0.00003914276,0.0005607572,0.05671275,0.0006907299,0.006003238,0.1136733,0.02851615,0.6985157],"study_design_scores_gemma":[0.0001085834,0.000955802,0.3720001,0.001013764,0.00002974934,0.001100308,0.1434268,0.001356687,0.003394787,0.08294673,0.3933702,0.0002964846],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7215567,0.0009549136,0.01851414,0.01688056,0.000627387,0.000201622,0.000128288,0.0004083583,0.2407281],"genre_scores_gemma":[0.9738685,0.0003026209,0.005863672,0.001611339,0.00007460928,0.0001142643,0.00006888802,0.00005721037,0.01803895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02025578,"threshold_uncertainty_score":0.05554754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005154199753982128,"score_gpt":0.1842936309385153,"score_spread":0.1791394311845332,"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."}}