{"id":"W2017622141","doi":"10.5539/ass.v4n11p26","title":"Evading Tactics of Psychological Contract Violations","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological contract; Globalization; Psychology; Social psychology; Economics; Business; Market economy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008867377,0.0005398883,0.0003105311,0.001802984,0.003368509,0.003938118,0.0009173419,0.001615583,0.003137682],"category_scores_gemma":[0.04061444,0.0003039046,0.00053021,0.001327473,0.005753268,0.003848458,0.004750353,0.00478743,0.0002953316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415558,"about_ca_system_score_gemma":0.001858933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008845435,"about_ca_topic_score_gemma":0.0008546358,"domain_scores_codex":[0.985201,0.008125138,0.0007210753,0.0007367496,0.003995758,0.001220289],"domain_scores_gemma":[0.9694629,0.01401261,0.008473949,0.004099897,0.00254293,0.001407697],"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":[0.0002341467,0.0002551827,0.04222678,0.0003309236,0.0001500933,0.002589962,0.05536772,0.001204998,0.005766379,0.7407385,0.005375502,0.14576],"study_design_scores_gemma":[0.0001433876,0.0005008563,0.07315738,0.001112392,0.0003629671,0.008491248,0.09989338,0.0269927,0.01256012,0.5809529,0.1954974,0.0003352357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7003991,0.001888072,0.09409187,0.008461297,0.00039018,0.0003340935,0.00007123085,0.0003112379,0.1940529],"genre_scores_gemma":[0.9919117,0.0001687836,0.00373462,0.0004078131,0.00005152186,0.00005791068,0.0000145986,0.00002584246,0.003627191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008867377,"threshold_uncertainty_score":0.04689574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206107237666458,"score_gpt":0.3154562157387192,"score_spread":0.2833951433620547,"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."}}