{"id":"W2952005783","doi":"10.5539/ibr.v12n7p34","title":"The Impact of Retail Setting Antecedents on Organizational Citizenship Behavior through Job Satisfaction","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Job satisfaction; Arabic; Front line; Organizational citizenship behavior; Population; Marketing; Empowerment; Capital (architecture); Business administration; Psychology; Organizational commitment; Sociology; Social psychology; Political science; Economics; Geography; Economic growth","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":[0.000586575,0.0001141708,0.0001031461,0.000188709,0.0003065479,0.0002773657,0.001095133,0.00005802754,0.0003678902],"category_scores_gemma":[0.0005042721,0.00007876912,0.00005013753,0.001353843,0.00009534728,0.0005531223,0.000359173,0.0002517834,0.0004853897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002503479,"about_ca_system_score_gemma":0.0003164176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003125941,"about_ca_topic_score_gemma":0.00001025826,"domain_scores_codex":[0.9975853,0.00009256692,0.0002827499,0.0002955811,0.001466017,0.0002777764],"domain_scores_gemma":[0.9964213,0.0004210786,0.0001085232,0.0003583187,0.002650956,0.00003982268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003078382,0.00003957778,0.9749478,0.000008989636,0.00004427525,0.000003354397,0.0001192584,0.001055019,0.006120488,0.01436915,0.001282972,0.001978356],"study_design_scores_gemma":[0.000258105,0.00006148362,0.9909938,0.00004514265,0.000001214737,0.00002102099,0.00001877203,0.002625626,0.002516387,0.003260821,0.0001093561,0.00008824789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904274,0.00002140733,0.002814497,0.002117369,0.0005939769,0.0002284913,0.00001829956,0.00004348712,0.003735087],"genre_scores_gemma":[0.9978042,0.00006656707,0.0005498956,0.00003522788,0.000168289,0.00001524808,0.00002483189,0.00001616332,0.001319527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01604605,"threshold_uncertainty_score":0.6238865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05259609828799943,"score_gpt":0.3657620231245172,"score_spread":0.3131659248365178,"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."}}