{"id":"W2083853624","doi":"10.1002/hrm.20336","title":"Contingent workers' impact on standard employee withdrawal behaviors: Does what you use them for matter?","year":2010,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Absenteeism; Workforce; Investment (military); Turnover; Affect (linguistics); Psychology; Business; Demographic economics; Social psychology; Economics; Management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.003655535,0.0001925658,0.0003184483,0.000549946,0.0006603106,0.001223857,0.0004033122,0.000436334,0.005712138],"category_scores_gemma":[0.01826814,0.000164953,0.0003999982,0.0004178355,0.0006728403,0.0005108137,0.0009000868,0.0009055146,0.0002739741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313016,"about_ca_system_score_gemma":0.0007064362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244854,"about_ca_topic_score_gemma":0.004468649,"domain_scores_codex":[0.9980785,0.0009603008,0.000117669,0.0000982745,0.0005463156,0.0001989475],"domain_scores_gemma":[0.9756262,0.01279129,0.007438441,0.0008644421,0.001087481,0.002192208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003621498,0.0007082497,0.9662623,0.00007567386,0.0001248245,0.0001008202,0.001908015,0.0001382178,0.0008650497,0.0001971137,0.0002985245,0.02895901],"study_design_scores_gemma":[0.00001356911,0.0002788986,0.9961941,0.00003524134,0.00004022339,0.00003822148,0.002461155,0.0002138614,0.000217257,0.0001877279,0.0003131133,0.000006508098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990141,0.000135641,0.00005435317,0.0001542628,0.000004961575,0.000004703639,0.00001764168,0.000001421667,0.0006127575],"genre_scores_gemma":[0.9995988,0.00009259961,0.00004520797,0.00004631193,0.000008543935,0.000004653988,0.00001691564,9.436017e-7,0.0001860398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005712138,"threshold_uncertainty_score":0.01933259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04509462044854744,"score_gpt":0.388160862579768,"score_spread":0.3430662421312206,"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."}}