{"id":"W4300437380","doi":"10.1108/ejtd-02-2022-0015","title":"Human resource development in SMEs in a context of labor shortage: a profile analysis","year":2022,"lang":"en","type":"article","venue":"European journal of training and development","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Human resources; Economic shortage; Context (archaeology); Business; Human capital; Human capital theory; Originality; Human resource management; Value (mathematics); Training (meteorology); Marketing; Knowledge management; Management; Economics; Economic growth; Psychology; Social psychology; Creativity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001149961,0.0001002036,0.00019431,0.001419096,0.00103352,0.001427363,0.0002804339,0.0002151331,0.001255557],"category_scores_gemma":[0.004154569,0.00007850314,0.0001842499,0.002112203,0.0003955286,0.0007408233,0.001198089,0.0002996989,0.0001799859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533134,"about_ca_system_score_gemma":0.002331325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06106688,"about_ca_topic_score_gemma":0.08444594,"domain_scores_codex":[0.9993941,0.000243184,0.00004695738,0.00004904487,0.0001044944,0.0001622525],"domain_scores_gemma":[0.9978763,0.000676184,0.0004052614,0.0001073534,0.0005625349,0.0003723132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009492456,0.00007791969,0.9465421,0.00005285898,0.00001395601,0.0003488277,0.03091054,0.0002080876,0.0006537707,0.0005347513,0.0002991745,0.0202631],"study_design_scores_gemma":[0.000004449197,0.00008849318,0.864995,0.0000753461,0.00001165795,0.0002281028,0.1303462,0.001770037,0.0002990655,0.0004485551,0.001720524,0.00001252114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988343,0.00003024887,0.0003523245,0.00006612514,0.00000103457,0.00002197146,0.00009646279,0.000001336192,0.0005961675],"genre_scores_gemma":[0.9993697,0.00003672711,0.0002631311,0.0000123599,7.880957e-7,0.00002052877,0.0001098852,6.348968e-7,0.0001862183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06106688,"threshold_uncertainty_score":0.1214228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03837233323406364,"score_gpt":0.2425574059650074,"score_spread":0.2041850727309437,"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."}}