{"id":"W3020448218","doi":"10.1002/job.2446","title":"Human capital resource emergence and leadership","year":2020,"lang":"en","type":"article","venue":"Journal of Organizational Behavior","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Extant taxon; Empirical research; Human capital; Social capital; Knowledge management; Process (computing); Human resource management; Resource (disambiguation); Task (project management); Relational capital; Human resources; Psychology; Sociology; Management; Epistemology; Social science; Economics; Computer science; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.001410378,0.0001401229,0.0002322415,0.001139075,0.0004555692,0.002538032,0.0002907257,0.0003308305,0.005595725],"category_scores_gemma":[0.00584657,0.00008654667,0.0002505799,0.001181587,0.001259284,0.001782122,0.001248434,0.001198195,0.0003228672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368911,"about_ca_system_score_gemma":0.001833646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204567,"about_ca_topic_score_gemma":0.003848354,"domain_scores_codex":[0.9991823,0.0003438361,0.00005437694,0.00009699563,0.0002118101,0.0001106704],"domain_scores_gemma":[0.993512,0.004125624,0.000970295,0.0002126617,0.0007280805,0.0004514167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000109132,0.000166802,0.1063638,0.002477897,0.00024283,0.0006048629,0.004723843,0.004526187,0.001102212,0.4881375,0.02228018,0.3692648],"study_design_scores_gemma":[0.0000330518,0.0003741668,0.3743185,0.004718448,0.0002419811,0.0008829541,0.01411527,0.009083486,0.001820223,0.3874443,0.2068522,0.0001156417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3865259,0.1784291,0.03958217,0.0817025,0.001144953,0.0003085789,0.001260336,0.0002233298,0.3108231],"genre_scores_gemma":[0.975325,0.01633987,0.003099063,0.0007492884,0.0003382536,0.00004444392,0.0001706679,0.0000101574,0.003923264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005595725,"threshold_uncertainty_score":0.01871955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05911507170559543,"score_gpt":0.2494796747353736,"score_spread":0.1903646030297782,"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."}}