{"id":"W3006867294","doi":"10.5267/j.msl.2020.2.022","title":"A factorial study on human resource issues of small and medium enterprises","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Banking, Crisis Management, COVID-19 Impact","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Human resources; Factorial analysis; Small and medium-sized enterprises; Human resource management; Resource (disambiguation); Reliability (semiconductor); Marketing; Knowledge management; Management; Computer science; Economics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0075422,0.0002907063,0.0003775276,0.0008645094,0.002113997,0.001571091,0.000309139,0.000558369,0.003303636],"category_scores_gemma":[0.01033405,0.0003396855,0.0004233475,0.0009738281,0.0013103,0.001135534,0.0008696562,0.0009153869,0.0003601986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104575,"about_ca_system_score_gemma":0.002036606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901306,"about_ca_topic_score_gemma":0.00326481,"domain_scores_codex":[0.9972587,0.00142767,0.0001925897,0.0001728414,0.000496874,0.0004512445],"domain_scores_gemma":[0.9889385,0.007019361,0.001088703,0.0003684009,0.0009643032,0.001620759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008991074,0.00692485,0.6526821,0.0003759919,0.00006863088,0.001263615,0.2683007,0.0002079281,0.006405215,0.003096419,0.001329525,0.05844581],"study_design_scores_gemma":[0.00007521686,0.004556596,0.7875711,0.000129528,0.00002408185,0.0002725486,0.198949,0.0003171176,0.0006315559,0.0007458268,0.006696571,0.00003079094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975095,0.00005280219,0.0001238554,0.0001268777,0.00001453788,0.0001512843,0.00002115516,0.000001197567,0.001998967],"genre_scores_gemma":[0.9978987,0.0001412587,0.0003799659,0.0001849605,0.00001228953,0.000274265,0.00003504517,0.000001257535,0.001072282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0075422,"threshold_uncertainty_score":0.03988743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091667689860665,"score_gpt":0.2942935486172858,"score_spread":0.2333768717186792,"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."}}