{"id":"W2917053046","doi":"10.1037/cbs0000125","title":"Who helps and why? Contextualizing organizational citizenship behavior.","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement","topic":"Organizational Learning and Leadership","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Organizational citizenship behavior; Citizenship; Organizational behavior; Social psychology; Organizational commitment; Political science; Politics; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002340913,0.0001253345,0.0002845741,0.0007936459,0.001179905,0.002026782,0.0003767321,0.0007693304,0.001942137],"category_scores_gemma":[0.01456399,0.0001680732,0.0001949711,0.0009434117,0.001593936,0.001344122,0.00153665,0.0009130012,0.000141729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247974,"about_ca_system_score_gemma":0.001791075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03808791,"about_ca_topic_score_gemma":0.08424194,"domain_scores_codex":[0.9980472,0.001352052,0.00006041776,0.0001735624,0.0001686079,0.0001981706],"domain_scores_gemma":[0.9904469,0.006179705,0.001122331,0.0006492145,0.0005511733,0.001050594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002360721,0.0004886584,0.8001719,0.0002302714,0.0002161356,0.0001966689,0.1107713,0.0002867692,0.0009504608,0.008142377,0.002974239,0.07533509],"study_design_scores_gemma":[0.000009349281,0.0001392354,0.9135726,0.0001869013,0.00009196723,0.00007579359,0.07395806,0.0003230816,0.0002726498,0.004432765,0.006905711,0.00003187041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863223,0.0008580853,0.0004603176,0.00191668,0.00003341249,0.00002613172,0.0002002779,0.00001103907,0.01017185],"genre_scores_gemma":[0.9992692,0.0001661557,0.0002060928,0.0001014779,0.000004486611,0.00001264457,0.00006275153,0.000003566483,0.0001735212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03808791,"threshold_uncertainty_score":0.07573241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07671731740612378,"score_gpt":0.2225234761700111,"score_spread":0.1458061587638874,"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."}}