{"id":"W2565546837","doi":"10.5430/ijba.v8n1p22","title":"Exploring Organisational Citizenship Behaviour through the Lens of Age","year":2016,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Multinational corporation; Citizenship; Organizational citizenship behavior; Psychology; Social psychology; Sample (material); Sociology; Demographic economics; Political science; Organizational commitment; Politics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002645792,0.0001315598,0.000161679,0.0002060916,0.0000894316,0.0001612427,0.0003899392,0.00004441889,0.0007037133],"category_scores_gemma":[0.0004696946,0.00008137809,0.00009264392,0.0003422309,0.0001012352,0.002503617,0.00005620398,0.0000912617,0.00004907004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007672011,"about_ca_system_score_gemma":0.0001522708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003341145,"about_ca_topic_score_gemma":0.00002439911,"domain_scores_codex":[0.9982455,0.00001609706,0.000672351,0.0001201114,0.0008349696,0.0001109445],"domain_scores_gemma":[0.9964939,0.000113965,0.0008135014,0.0001140208,0.002454259,0.00001031017],"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":[0.0006643937,0.0005106637,0.3481397,0.00006211881,0.000350232,0.000213543,0.0004725151,0.0002275846,0.07428151,0.5566364,0.003892293,0.01454899],"study_design_scores_gemma":[0.001091431,0.00002630091,0.9777172,0.0001550807,0.00009319784,0.0001223836,0.000301387,0.000005593307,0.005300767,0.007833641,0.007186285,0.0001667327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629935,0.00002663739,0.01237714,0.0200932,0.002853542,0.0001248261,0.00001876509,0.00003018847,0.001482173],"genre_scores_gemma":[0.9970334,0.00004743321,0.0003740022,0.0005164289,0.001891102,0.000005156736,0.0000234463,0.00002107366,0.00008797123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6295775,"threshold_uncertainty_score":0.7705168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001723838197082,"score_gpt":0.2814435354911852,"score_spread":0.1812711516714771,"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."}}