{"id":"W3199063268","doi":"10.46806/ja.v9i2.762","title":"PENGARUH LEVEL DIVERSIFIKASI, JUMLAH SEGMEN, DAN JENIS SEKTOR INDUSTRI TERHADAP KINERJA PERUSAHAAN PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2016 – 2018","year":2020,"lang":"en","type":"article","venue":"Jurnal Akuntansi","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Business; Business administration; Stock exchange; Competitor analysis; Variables; Secondary sector of the economy; Economics; Economy; Marketing; Finance; Mathematics; Statistics","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":[0.0007798954,0.0003568276,0.000234022,0.0005491732,0.0004940423,0.001880443,0.0003768848,0.0003059903,0.01128569],"category_scores_gemma":[0.001731615,0.0001256561,0.0002821,0.0007161222,0.0004266925,0.001037923,0.0009060281,0.0006125762,0.002075408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006628867,"about_ca_system_score_gemma":0.0007259322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641265,"about_ca_topic_score_gemma":0.002624033,"domain_scores_codex":[0.9994546,0.00007518578,0.00003660721,0.0001035387,0.0002327454,0.00009750718],"domain_scores_gemma":[0.9983865,0.0004965395,0.0005232672,0.00009658511,0.000275679,0.0002214848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005415121,0.0004148499,0.7234399,0.0003606454,0.0001923016,0.0008272084,0.001948403,0.003207798,0.007258776,0.003441842,0.002739023,0.2556277],"study_design_scores_gemma":[0.00002139228,0.0007045578,0.969545,0.0001261767,0.0001335615,0.0005622842,0.00318785,0.003206186,0.007198864,0.00142836,0.01385366,0.00003210357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718431,0.0005965894,0.001204925,0.0002739313,0.00002389735,0.00002777825,0.0003012739,0.00003454832,0.02569389],"genre_scores_gemma":[0.9920136,0.0003075171,0.0007639814,0.00003031307,0.00001623349,0.00001810444,0.0003787501,0.000006378632,0.006465092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128569,"threshold_uncertainty_score":0.03775442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03959166260522107,"score_gpt":0.1984531528482075,"score_spread":0.1588614902429865,"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."}}