{"id":"W3037458946","doi":"10.37385/raj.v1i1.97","title":"ANALISIS COST VOLUME PROFIT SEBAGAI DASAR PERENCANAAN LABA PERUSAHAAN YANG DIHARAPKAN (STUDI KASUS SULTAN’S BARBERSHOP)","year":2020,"lang":"id","type":"article","venue":"Research in Accounting Journal (RAJ)","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Cost–volume–profit analysis; Profit (economics); Profit margin; Earnings management; Business; Operations management; Gross profit; Economics; Actuarial science; Finance; Accounting; Microeconomics; Accounting management; Accounting information system; Geography","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":[0.001232439,0.0003280237,0.0003142333,0.003722876,0.0005086229,0.002180537,0.0003438309,0.0002548047,0.004778035],"category_scores_gemma":[0.002855068,0.0001513154,0.0004108533,0.003792463,0.0002766499,0.00118515,0.0004952279,0.0004138184,0.001030412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123205,"about_ca_system_score_gemma":0.001098979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009975391,"about_ca_topic_score_gemma":0.01249812,"domain_scores_codex":[0.999163,0.0001220153,0.00005555114,0.0001151032,0.0004548671,0.00008953431],"domain_scores_gemma":[0.9978948,0.0008273587,0.0002982148,0.000103299,0.0007977764,0.00007856354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005203254,0.000347584,0.6014469,0.000775368,0.0003019027,0.001239581,0.00781597,0.008140199,0.004406637,0.01104708,0.01094386,0.3530145],"study_design_scores_gemma":[0.00001393575,0.0003652549,0.9179001,0.0001856684,0.000176208,0.0006691963,0.01788426,0.01724101,0.006392465,0.003577108,0.03551339,0.00008120936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707963,0.0009269114,0.004542085,0.0002879577,0.00003208143,0.0001300604,0.001984522,0.0001345745,0.02116556],"genre_scores_gemma":[0.9825113,0.000531664,0.006471394,0.00002200712,0.0000135489,0.00009390972,0.001645186,0.00003645742,0.008674428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009975391,"threshold_uncertainty_score":0.0198347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167834789597378,"score_gpt":0.3486363342033743,"score_spread":0.2318528552436364,"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."}}