{"id":"W2932258705","doi":"10.5430/ijfr.v10n2p68","title":"The Determinants of Profitability of the Pharmaceutical Industry of Bangladesh: A Random Effect Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Regression analysis; Panel data; Econometrics; Business; Inflation (cosmology); Return on assets; Random effects model; Variables; Earnings before interest and taxes; Pharmaceutical industry; Equity (law); Economics; Return on equity; Monetary economics; Finance; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009917427,0.00008619382,0.0005184234,0.0004653216,0.00006880565,0.00002651175,0.001201334,0.0001453024,0.0001510188],"category_scores_gemma":[0.006392425,0.0000570903,0.0004671798,0.001015107,0.0005168391,0.000134231,0.0001959658,0.0006489818,0.000005050552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164576,"about_ca_system_score_gemma":0.0002919634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001139047,"about_ca_topic_score_gemma":0.00003841968,"domain_scores_codex":[0.997332,0.0002976554,0.00136398,0.000173161,0.0006173803,0.0002158197],"domain_scores_gemma":[0.9954472,0.001745329,0.001126954,0.0003563773,0.00128206,0.00004211154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006332487,0.0001710765,0.9795399,0.00004569243,0.0001605013,0.00000103157,0.0002378113,0.0002976437,0.0003449013,0.008411735,0.00002461092,0.01013181],"study_design_scores_gemma":[0.001272839,0.0002083089,0.9803504,0.00006480804,0.00002705588,0.000004182484,0.00001523386,0.002711222,0.009919798,0.004891332,0.0004838427,0.00005094048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973503,0.0005872983,0.0001182561,0.000389365,0.0005851105,0.000309833,0.00006501486,0.000001099842,0.0005936853],"genre_scores_gemma":[0.999709,0.00004604017,0.00004177692,0.000005525293,0.0000837849,0.000004309952,5.513157e-7,0.000006236855,0.0001027574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008087,"threshold_uncertainty_score":0.7652792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05289931211571983,"score_gpt":0.3802889020231645,"score_spread":0.3273895899074447,"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."}}