{"id":"W4206137963","doi":"10.3917/grhu.122.0018","title":"Links among Tangible Rewards, Intangible Rewards, and Turnover Intentions: A Multi-Level Study in the ICT Sector","year":2021,"lang":"fr","type":"article","venue":"Revue de gestion des ressources humaines","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"","keywords":"Political science; Humanities; Psychology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001073669,0.0003416642,0.0003612163,0.0004286545,0.0007200852,0.00102344,0.0002673864,0.0003463993,0.000770601],"category_scores_gemma":[0.001624242,0.000314385,0.0001224277,0.001579872,0.0003072305,0.001114011,0.0001985929,0.0007150117,0.0000753251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998633,"about_ca_system_score_gemma":0.00005241031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035328,"about_ca_topic_score_gemma":0.01812247,"domain_scores_codex":[0.9976912,0.0002877325,0.0006025894,0.0005461253,0.0004153502,0.0004570368],"domain_scores_gemma":[0.9983721,0.0002142625,0.00024891,0.0003751145,0.0007434038,0.00004615524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003038864,0.0007449492,0.9826458,0.0006283743,0.00007224895,0.0002373541,0.007032897,0.0005149188,0.0004194243,0.001482192,0.001519491,0.004672002],"study_design_scores_gemma":[0.001226851,0.0000336805,0.937439,0.00109826,0.0002364999,0.000119967,0.00908896,0.001405405,0.00004962233,0.0004036748,0.04853969,0.0003583849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770285,0.01283574,0.0005913005,0.007301527,0.0007354098,0.0006959311,0.0000369267,0.00009913465,0.000675536],"genre_scores_gemma":[0.9860756,0.0006546521,0.0006988849,0.0004541314,0.001167767,0.00008313187,0.00009003781,0.00006539682,0.01071044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04702019,"threshold_uncertainty_score":0.9999308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06689660361308927,"score_gpt":0.2725556540965913,"score_spread":0.205659050483502,"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."}}