{"id":"W1523050240","doi":"10.15678/krem.836","title":"Model kanadyjski i modele brytyjskie kontroli wewnętrznej","year":2015,"lang":"en","type":"article","venue":"Krakow Review of Economics and Management/Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie","topic":"Leadership, Human Resources, Global Affairs","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Corporate governance; Audit; Accounting; Business; Control (management); Political science; Computer science; Economics; Management; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001043435,0.00103784,0.001175155,0.000915657,0.0007303025,0.004032713,0.001748217,0.001620699,0.01708778],"category_scores_gemma":[0.00275128,0.0005540013,0.001280811,0.001091326,0.00176549,0.003504393,0.002230616,0.003127895,0.003298648],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014313,"about_ca_system_score_gemma":0.002518333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235391,"about_ca_topic_score_gemma":0.006723636,"domain_scores_codex":[0.9992816,0.0001949484,0.00004315813,0.0001834184,0.0001799801,0.0001169123],"domain_scores_gemma":[0.9992828,0.0003182074,0.0001243331,0.00007969924,0.0001309861,0.00006394982],"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":[0.00004283761,0.00008739548,0.001618655,0.000196749,0.0000675468,0.0002423424,0.0003501789,0.1479793,0.0007078733,0.8230578,0.01020933,0.01543985],"study_design_scores_gemma":[0.00005244116,0.00006289711,0.001467946,0.0001258269,0.00005765854,0.0002627262,0.0003750903,0.2828259,0.0004802714,0.6336964,0.08051397,0.00007887117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0381735,0.006305234,0.7979307,0.007426389,0.001281769,0.0002248445,0.00279252,0.0005541517,0.1453109],"genre_scores_gemma":[0.6789979,0.01335298,0.1224905,0.001044687,0.0007364254,0.001297119,0.002670016,0.000664435,0.1787459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9985687,"threshold_uncertainty_score":0.05716437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06756380876719827,"score_gpt":0.2839351430619865,"score_spread":0.2163713342947882,"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."}}