{"id":"W2945575789","doi":"10.5430/ijfr.v10n3p194","title":"Liquidity, Growth and Profitability of Non-financial Public Listed Malaysia: A Malaysian Evidence","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Market liquidity; Business; Panel data; Return on equity; Return on assets; Monetary economics; Equity (law); Asset (computer security); Finance; Financial system; Economics; Econometrics","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":[0.002636612,0.0001532283,0.0003461415,0.0008057464,0.0001068607,0.0002687555,0.0009418373,0.0001321661,0.00009605184],"category_scores_gemma":[0.004217265,0.0001345715,0.0001477749,0.0007685554,0.0002555081,0.002287589,0.0005922124,0.0006598897,0.00007667632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008985751,"about_ca_system_score_gemma":0.000472967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002709398,"about_ca_topic_score_gemma":0.00002775091,"domain_scores_codex":[0.9971463,0.00003628309,0.0006857748,0.0002530549,0.001491767,0.0003868038],"domain_scores_gemma":[0.9958207,0.0001995857,0.0005223267,0.0001727722,0.003244063,0.0000405543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001886231,0.0004858772,0.8407221,0.0006938103,0.00004389589,0.00013489,0.0002474358,0.00002334316,0.01489665,0.06428216,0.002435282,0.07414827],"study_design_scores_gemma":[0.0008311108,0.000270607,0.9857875,0.0008247194,0.00001108044,0.00002305973,0.00002500669,0.0008631471,0.0009888205,0.005333082,0.004855759,0.0001860832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992179,0.0002522968,0.0001039673,0.003208248,0.001270712,0.0002614445,0.000004439116,0.000008736687,0.002711173],"genre_scores_gemma":[0.996904,0.0001504988,0.0001433445,0.0001882012,0.002447913,0.000007376008,0.000002582833,0.00001462875,0.0001414335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1450654,"threshold_uncertainty_score":0.5487664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05621956283047836,"score_gpt":0.3245475601785877,"score_spread":0.2683279973481093,"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."}}