{"id":"W1480780847","doi":"10.1108/ejtd-05-2013-0058","title":"Application of best practices in university entrepreneurship education","year":2014,"lang":"en","type":"article","venue":"European journal of training and development","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Entrepreneurship; Rigour; Normative; Best practice; Originality; Context (archaeology); Value (mathematics); Sociology; Engineering ethics; Knowledge management; Management science; Public relations; Pedagogy; Computer science; Political science; Epistemology; Management; Engineering; Social science; Qualitative research; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.1622456,0.001342287,0.001575982,0.01221929,0.006838306,0.03026461,0.006240289,0.00623366,0.002345548],"category_scores_gemma":[0.1889996,0.001062517,0.001390659,0.008386602,0.02538363,0.01781785,0.01630047,0.00708655,0.0009091976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02063142,"about_ca_system_score_gemma":0.0427752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003464897,"about_ca_topic_score_gemma":0.004861806,"domain_scores_codex":[0.7413551,0.1915634,0.01402248,0.009204665,0.03983627,0.004018064],"domain_scores_gemma":[0.7616534,0.1539872,0.01276895,0.03550547,0.03103274,0.005052274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008487316,0.0007940481,0.006443135,0.006228966,0.0001897503,0.0004374459,0.06764052,0.003487472,0.001018655,0.4141102,0.008058206,0.4915067],"study_design_scores_gemma":[0.00008794943,0.0004687379,0.005815171,0.0415236,0.0001737817,0.0006390857,0.07953481,0.003680634,0.004278897,0.6288558,0.2347425,0.0001990201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1139465,0.04229744,0.4387208,0.1657135,0.002697999,0.003807741,0.0002606581,0.0007839118,0.2317715],"genre_scores_gemma":[0.5644659,0.01441192,0.4063888,0.007056163,0.0002327204,0.002583794,0.0002189619,0.0002368539,0.004404904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1622456,"threshold_uncertainty_score":0.858047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05335208589145866,"score_gpt":0.2521485857437215,"score_spread":0.1987964998522629,"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."}}