{"id":"W3002291650","doi":"10.24908/pceea.vi0.13766","title":"DISCOVERE: AN OUTREACH PROGRAM AT THE SCHOOL OF ENGINEERING","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Outreach; Curriculum; Variety (cybernetics); Passion; Engineering education; Engineering; Engineering ethics; Engineering management; Civil engineering; Pedagogy; Sociology; Computer science; Political science; Psychology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597872,0.0002299289,0.0002216593,0.0002411919,0.00008091523,0.00008750705,0.0004648489,0.0001533486,0.0001558929],"category_scores_gemma":[0.0003268697,0.0001929977,0.0001085952,0.0006639885,0.00001321906,0.000280536,0.00003561277,0.000294884,0.00004718738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254396,"about_ca_system_score_gemma":0.0004011456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009908021,"about_ca_topic_score_gemma":0.001159364,"domain_scores_codex":[0.9986336,0.000004833661,0.0003937694,0.0001937465,0.0003940612,0.0003800014],"domain_scores_gemma":[0.9989628,0.00004131269,0.0001825331,0.0002344796,0.0003231497,0.0002556966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008025937,0.0004559303,0.4924604,0.002963696,0.0007843131,1.523065e-7,0.005417829,0.2986794,0.05092284,0.01443536,0.1290611,0.004811053],"study_design_scores_gemma":[0.0004716566,0.00005915212,0.74669,0.0004947347,0.000109599,0.0000110189,0.0008118882,0.04641556,0.0211935,0.0000475514,0.1827949,0.0009004512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908185,0.0002033487,0.00001251424,0.000832559,0.002760139,0.0007945703,0.0000237958,0.0002591673,0.004295422],"genre_scores_gemma":[0.9947673,0.00001713275,0.001000164,0.00005620066,0.0001364733,0.0001657804,0.00002361946,0.00006729053,0.003766029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2542296,"threshold_uncertainty_score":0.7870216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002862101628938576,"score_gpt":0.1889482173003783,"score_spread":0.1860861156714397,"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."}}