{"id":"W3111212591","doi":"10.5267/j.ac.2020.12.001","title":"A study on the financial soundness of Indian automobile industries using Altman Z-Score","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soundness; Bankruptcy; Financial distress; Bankruptcy prediction; Business; Financial ratio; Automotive industry; Finance; Accounting; Financial system; Engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763748,0.0002508469,0.0001607796,0.00347455,0.0004190111,0.001074106,0.000306133,0.0002315875,0.001403715],"category_scores_gemma":[0.008274457,0.0001103036,0.0004712465,0.004209545,0.0005040387,0.0008733644,0.0004225798,0.0006133178,0.0003020419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432041,"about_ca_system_score_gemma":0.0005476343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007582682,"about_ca_topic_score_gemma":0.005356907,"domain_scores_codex":[0.9989703,0.0002535896,0.0001331082,0.0001040311,0.0004114636,0.0001274971],"domain_scores_gemma":[0.991918,0.002819211,0.002514943,0.0003392444,0.002119811,0.0002887823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005922265,0.00005143964,0.9737551,0.00002802981,0.00006994016,0.0001326057,0.0006379534,0.0003260941,0.000343604,0.0006491675,0.0003494908,0.02359723],"study_design_scores_gemma":[0.00000281004,0.0001534566,0.9951335,0.00001819051,0.00004264068,0.0001945276,0.001155229,0.001510318,0.0004104708,0.0002613324,0.001104296,0.00001322457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927325,0.0003986497,0.001329037,0.000133346,0.00001653336,0.00002435939,0.000318576,0.00002016902,0.005026824],"genre_scores_gemma":[0.9987669,0.0001522706,0.0005194321,0.00001603062,0.00001303857,0.00001048144,0.0002020961,0.000002299452,0.000317424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007582682,"threshold_uncertainty_score":0.01507711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06788634969465004,"score_gpt":0.2443602082128509,"score_spread":0.1764738585182009,"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."}}