{"id":"W2521570565","doi":"10.5539/ass.v12n10p42","title":"Offering the Model of Structural Equations for the Parameters of Leadership Thinking, Communication and Meritocracy in Training of the Organizational Leaders of Oil Company","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Organizational Leadership and Management Strategies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meritocracy; Structural equation modeling; LISREL; Statistical population; Psychology; Population; Management; Sociology; Descriptive statistics; Mathematics; Statistics; Political science; Economics","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":[0.003722775,0.001266931,0.0007777943,0.00114041,0.0006835812,0.001981072,0.001496093,0.001723589,0.01507969],"category_scores_gemma":[0.009965967,0.0008991045,0.00216897,0.001060237,0.0006273582,0.002015376,0.001230872,0.002097965,0.001708726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002453263,"about_ca_system_score_gemma":0.004302866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327112,"about_ca_topic_score_gemma":0.009528195,"domain_scores_codex":[0.9964806,0.001723777,0.000174286,0.0007394812,0.0005243464,0.0003575203],"domain_scores_gemma":[0.9949216,0.003357045,0.0005563587,0.0001627812,0.0008825838,0.0001197004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005887361,0.001761731,0.2113578,0.001075937,0.001164615,0.001554516,0.01066233,0.3032897,0.004052039,0.308796,0.02191432,0.1337823],"study_design_scores_gemma":[0.0003630764,0.0006749286,0.05357253,0.0004574949,0.000642568,0.0005440015,0.001866804,0.8547307,0.001400929,0.06780786,0.01778501,0.0001540303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4738003,0.0009964323,0.4742108,0.008802145,0.0007567477,0.002080099,0.006254951,0.001268986,0.03182949],"genre_scores_gemma":[0.9023587,0.0009194617,0.06940793,0.0003200744,0.0002247981,0.003194777,0.003213227,0.00007020133,0.02029085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01507969,"threshold_uncertainty_score":0.05044663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060908407338382,"score_gpt":0.2755456624796727,"score_spread":0.1694548217458344,"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."}}