{"id":"W4225271913","doi":"10.3127/ajis.v26i0.3037","title":"Turnover in Japanese IT Professionals: Antecendants and Nuances","year":2022,"lang":"en","type":"article","venue":"AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Friendship; Collectivism; Turnover; Job satisfaction; Workforce; Work (physics); Psychology; Social psychology; Turnover intention; Individualism; Business; Public relations; Political science; Management; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002514891,0.0001875389,0.0003290639,0.001618072,0.001273546,0.00183168,0.0003417766,0.0004114214,0.0007012292],"category_scores_gemma":[0.00668685,0.0002251111,0.0003090134,0.001633861,0.0008060018,0.0007443179,0.001386097,0.0003387192,0.00009349209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009872839,"about_ca_system_score_gemma":0.001043138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02806647,"about_ca_topic_score_gemma":0.0692733,"domain_scores_codex":[0.9987704,0.00040967,0.0001305395,0.0001551226,0.0003281425,0.0002061919],"domain_scores_gemma":[0.9961063,0.001555589,0.001049221,0.0002334541,0.0005916129,0.0004637697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004838402,0.00003480682,0.9797791,0.00003177523,0.00001911957,0.00009647931,0.01516205,0.00003170368,0.0001702583,0.0001264723,0.00007437043,0.004425486],"study_design_scores_gemma":[0.000003028971,0.00003815904,0.978928,0.00002530794,0.00002494332,0.0001418025,0.01998093,0.0003462557,0.00005615203,0.000109132,0.0003376855,0.000008550072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993895,0.0001177406,0.0000522468,0.00003487006,0.0000019953,0.000001694006,0.00001234441,5.954624e-7,0.0003889817],"genre_scores_gemma":[0.9997188,0.00006843506,0.00003868617,0.00001819057,0.000002729707,0.000003377334,0.00003832889,8.449852e-7,0.0001105685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02806647,"threshold_uncertainty_score":0.05580616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843966591576737,"score_gpt":0.2611335085984379,"score_spread":0.2426938426826706,"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."}}