{"id":"W3124315340","doi":"","title":"Leveraging Training and Skills Development in SMEs: An Analysis of Two Canadian Urban Regions - Montreal and Winnipeg","year":2012,"lang":"en","type":"article","venue":"","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Flexibility (engineering); Training (meteorology); Business; Informal learning; Marketing; Small and medium-sized enterprises; Entrepreneurship; Industrial organization; Economic growth; Management; Economics; Geography; Political science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005012378,0.0005511228,0.0004345404,0.003892698,0.004680181,0.002184128,0.001138684,0.0004029073,0.001853397],"category_scores_gemma":[0.001916536,0.0003294201,0.000506705,0.008314414,0.001314997,0.0004442192,0.001839456,0.0003173902,0.0001440435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03939772,"about_ca_system_score_gemma":0.03206677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964958,"about_ca_topic_score_gemma":0.9989141,"domain_scores_codex":[0.9991432,0.00009358952,0.00002568617,0.00008214354,0.0001928328,0.0004624255],"domain_scores_gemma":[0.9986505,0.0001493508,0.0001785946,0.00003070155,0.0005499732,0.0004409354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002640084,0.0001150902,0.9225954,0.0003995096,0.0001299711,0.00258571,0.03581781,0.001232052,0.002354105,0.002476434,0.002907427,0.02912257],"study_design_scores_gemma":[0.000007604413,0.0000271239,0.9606361,0.00006359469,0.00003710595,0.000170646,0.03329287,0.0003468294,0.0002449783,0.00004570579,0.005097262,0.00003013018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933609,0.0007939644,0.0001682376,0.0003271381,0.000007159464,0.0000835328,0.001066682,0.000008897548,0.004183561],"genre_scores_gemma":[0.9970677,0.0005480724,0.0002833466,0.00006604887,0.000002798992,0.00003270139,0.0005085811,0.000006150935,0.001484393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03939772,"threshold_uncertainty_score":0.2858518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858623215503832,"score_gpt":0.2442458977882621,"score_spread":0.2156596656332238,"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."}}