{"id":"W2909081543","doi":"10.24908/pceea.v0i0.13050","title":"MAKING UNDERGRADUATE RESEARCH EXPERIENCE MORE PRODUCTIVE","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Variety (cybernetics); Accreditation; Portfolio; Undergraduate research; Computer science; Content analysis; Medical education; Graduate students; Mathematics education; Psychology; Engineering management; Pedagogy; Engineering; Sociology; Medicine; Business; 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":[0.0005676751,0.0001740246,0.0001517772,0.0005179627,0.0002659519,0.000123964,0.0004414413,0.0001539281,0.00004189077],"category_scores_gemma":[0.001167367,0.0001805314,0.00005945866,0.001209033,0.00007132038,0.0002674937,0.00003095907,0.0004072059,0.00004003027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556148,"about_ca_system_score_gemma":0.0005464912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558593,"about_ca_topic_score_gemma":0.002319878,"domain_scores_codex":[0.9984978,0.000008782089,0.0002757553,0.0002346302,0.0004684435,0.0005145543],"domain_scores_gemma":[0.9982297,0.00005580562,0.0001004835,0.0001871537,0.001235679,0.000191131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001296551,0.0002402491,0.1194713,0.001773252,0.0005235461,4.478882e-7,0.06725951,0.0171329,0.05395769,0.1421585,0.5901493,0.00732031],"study_design_scores_gemma":[0.0004036104,0.00007296619,0.273826,0.0008886868,0.00007068417,0.00002491504,0.005188631,0.0326512,0.06010848,0.002369827,0.6230238,0.001371189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275913,0.0003283294,0.0001264631,0.01750988,0.01013721,0.0009896774,0.00002820958,0.0006499017,0.04263898],"genre_scores_gemma":[0.9947029,0.00001277985,0.001011003,0.0001091601,0.0007397283,0.0001085129,0.000003831048,0.00005984628,0.003252289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1543547,"threshold_uncertainty_score":0.7361858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747246611013614,"score_gpt":0.3302674541955128,"score_spread":0.2927949880853766,"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."}}