{"id":"W2324093074","doi":"10.5465/ambpp.2013.15313symposium","title":"Are we moving the needle? Measuring impact in entrepreneurship education","year":2013,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Mindset; Experiential learning; Commercialization; Entrepreneurship; Experiential education; Set (abstract data type); Work (physics); Entrepreneurship education; Public relations; Engineering ethics; Sociology; Political science; Marketing; Pedagogy; Business; Engineering; Computer science; Artificial intelligence; Mechanical engineering; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04001059,0.0006604484,0.0009602769,0.008800829,0.003283624,0.01077909,0.001766908,0.001678649,0.00464176],"category_scores_gemma":[0.195234,0.0005709392,0.0008230359,0.01545516,0.007740891,0.02497058,0.008236784,0.003355781,0.001110921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005077714,"about_ca_system_score_gemma":0.004161058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005452576,"about_ca_topic_score_gemma":0.005335175,"domain_scores_codex":[0.9385558,0.03357311,0.00245876,0.001801126,0.02133013,0.002281104],"domain_scores_gemma":[0.8499652,0.1011746,0.0163783,0.007112694,0.01833078,0.007038475],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003200968,0.0009688762,0.3797886,0.0007102396,0.0005051294,0.0001380446,0.02533361,0.004672679,0.0004839826,0.06502082,0.01324839,0.5088094],"study_design_scores_gemma":[0.0001134434,0.00128532,0.6732636,0.002389107,0.0004114358,0.0001749662,0.07993479,0.005125955,0.002638681,0.1752368,0.05908561,0.0003403346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7222051,0.007521989,0.04167413,0.0480564,0.001357948,0.000855534,0.00110127,0.0005405205,0.176687],"genre_scores_gemma":[0.9827505,0.002449443,0.009096009,0.001854314,0.0002263222,0.0003377516,0.0002824854,0.0001025885,0.002900614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9599894,"threshold_uncertainty_score":0.2115988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907110395361236,"score_gpt":0.262830061381852,"score_spread":0.2237589574282396,"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."}}