{"id":"W4364382466","doi":"10.18280/ijsdp.180301","title":"A Panel Analysis of the Effectiveness of the Asset Management in Indian Agricultural Companies","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Asset management; Business; Asset (computer security); Panel data; Environmental resource management; Agricultural economics; Natural resource economics; Environmental planning; Finance; Economics; Environmental science; Computer science; Geography; Econometrics; Computer security","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":[0.001188483,0.0001780591,0.0002383983,0.00131511,0.0004676709,0.001105613,0.000532206,0.0003664856,0.003379216],"category_scores_gemma":[0.003543931,0.0001264977,0.0005161999,0.002183723,0.0002451396,0.0005232964,0.0007233963,0.0008643479,0.0008354317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008268255,"about_ca_system_score_gemma":0.0004554731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03270363,"about_ca_topic_score_gemma":0.02283187,"domain_scores_codex":[0.9992456,0.0002507428,0.00004757407,0.0001156392,0.0001227359,0.0002177594],"domain_scores_gemma":[0.9942086,0.002260381,0.001481262,0.0005324553,0.000958782,0.0005584758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002600411,0.0002881359,0.980812,0.00002091501,0.0001913869,0.0002130095,0.0006019389,0.004583361,0.0008843796,0.0004214114,0.00173213,0.009991365],"study_design_scores_gemma":[0.000002751291,0.00009102444,0.9947333,0.000004121827,0.00003296863,0.00003126511,0.0005696305,0.003812535,0.0001958177,0.00006121948,0.0004563955,0.000008830543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971054,0.00003245646,0.0001575421,0.00005733522,0.000002100311,0.000008111801,0.001333355,0.000008233417,0.001295408],"genre_scores_gemma":[0.9974059,0.00003159769,0.00007009586,0.00001210494,0.000004143901,0.000007895484,0.001902497,0.000001715686,0.0005640504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03270363,"threshold_uncertainty_score":0.06502658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348329960458269,"score_gpt":0.2235592137175046,"score_spread":0.210075914112922,"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."}}