{"id":"W2888221951","doi":"10.5539/jms.v8n3p1","title":"A Multilevel Model of Responsibility Towards Employees as a Dimension of Corporate Social Responsibility","year":2018,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Industrial relations; Context (archaeology); Human resource management; Dimension (graph theory); Business; Multilevel model; Power (physics); Social responsibility; Predictive power; Public relations; Knowledge management; Political science; Management; Economics; Computer science","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":[0.001650932,0.00042989,0.0003037392,0.001333249,0.00134029,0.003338907,0.0009353947,0.000820866,0.007311948],"category_scores_gemma":[0.003881806,0.0002316087,0.001022184,0.001013622,0.002828488,0.003030306,0.002826434,0.001450705,0.0006148706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002861882,"about_ca_system_score_gemma":0.003033516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007505535,"about_ca_topic_score_gemma":0.008562871,"domain_scores_codex":[0.9979666,0.001021064,0.00006402243,0.0003377787,0.0003630744,0.0002475011],"domain_scores_gemma":[0.9954022,0.002071681,0.0008719445,0.0003955733,0.0005782988,0.0006802527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001205778,0.000753744,0.2272485,0.0002904681,0.0003491002,0.0005474886,0.0252885,0.01873509,0.00261119,0.6617652,0.001993805,0.06029635],"study_design_scores_gemma":[0.00008043091,0.000749374,0.2208,0.000597322,0.0003791644,0.0005623968,0.01819226,0.11486,0.0007809126,0.6213757,0.02148706,0.0001353972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6541029,0.0005985436,0.1677983,0.009902693,0.00007253901,0.0004281145,0.0006212847,0.0001813357,0.1662944],"genre_scores_gemma":[0.9868613,0.0001428583,0.01084545,0.00008868677,0.00001387707,0.0001146315,0.00008148412,0.00000697932,0.001844775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007505535,"threshold_uncertainty_score":0.02446085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350586757492731,"score_gpt":0.3016680537760454,"score_spread":0.2581621862011181,"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."}}