{"id":"W2081196176","doi":"10.5465/ambpp.2013.206","title":"Continuously Improving in Tough Times: Overcoming Resource Constraints with Psychological Capital","year":2013,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Dilemma; Resource (disambiguation); Capital (architecture); Stressor; Competitive advantage; Business; Positive psychological capital; Knowledge management; Marketing; Computer science; Psychology; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000384138,0.0002568134,0.0003274472,0.0002721589,0.0001053039,0.0002105466,0.0004480428,0.0001019775,0.0003627189],"category_scores_gemma":[0.00004900458,0.0002027119,0.00005904089,0.0004675652,0.0002868079,0.001679093,0.0003714295,0.0002658453,0.00009895083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002342076,"about_ca_system_score_gemma":0.000001574534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001412049,"about_ca_topic_score_gemma":0.000001654724,"domain_scores_codex":[0.9981703,0.000003677456,0.0004615006,0.0005207449,0.0003584645,0.0004852929],"domain_scores_gemma":[0.9994405,0.00003071612,0.0003728328,0.00007115853,0.00006560006,0.00001921144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002433667,0.0004828601,0.7091091,0.00207748,0.0002547814,0.00002586999,0.0008244609,0.00003926737,0.002413748,0.1367346,0.0337244,0.1140701],"study_design_scores_gemma":[0.005083442,0.0002086187,0.9124888,0.001507386,0.0002464215,0.00001884331,0.02600611,0.0003411565,0.000581725,0.01227577,0.03975767,0.00148405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789404,0.00009316914,0.00001349137,0.002099714,0.00002932205,0.0008591033,4.754804e-7,0.00008278172,0.1178816],"genre_scores_gemma":[0.995914,0.00002831365,0.0006958618,0.00263217,0.0001843921,0.0001470743,0.000001560512,0.00002175976,0.0003748187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2033797,"threshold_uncertainty_score":0.8266354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139312459579724,"score_gpt":0.2318992933615492,"score_spread":0.2179680474035768,"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."}}