{"id":"W2612914928","doi":"","title":"A Study to Find out the Influencing Factors for Non-Usage of Management Information System in Selected Small Scale Industries","year":2013,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Sample (material); Value (mathematics); Business; Marketing; Data collection; Knowledge management; Operations management; Computer science; Engineering; Statistics; Mathematics; Geography","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":[0.001162502,0.0001965519,0.0002125032,0.001332573,0.001035193,0.001282546,0.0003257931,0.0004312496,0.002540364],"category_scores_gemma":[0.004515495,0.0002762993,0.0002991109,0.001178827,0.0004035867,0.0006695474,0.0005020069,0.0005212871,0.0003262771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006333563,"about_ca_system_score_gemma":0.001335202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004732875,"about_ca_topic_score_gemma":0.006283018,"domain_scores_codex":[0.9989583,0.0003487578,0.0001158038,0.0001013233,0.000253116,0.0002226405],"domain_scores_gemma":[0.9925937,0.003142438,0.001968045,0.0001626893,0.001137412,0.0009957782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008254688,0.0009961757,0.9632348,0.000225152,0.00002884068,0.001332673,0.0223698,0.00005864173,0.00166897,0.0001207075,0.0003645222,0.009517032],"study_design_scores_gemma":[0.000007464147,0.0008534813,0.9301503,0.00008543771,0.00001999167,0.000569858,0.06625529,0.0002084082,0.0004419049,0.00003319093,0.001361748,0.00001289638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993312,0.00003684744,0.00003858832,0.00005531866,0.000001528174,0.00002490225,0.00002214411,9.379478e-7,0.0004884537],"genre_scores_gemma":[0.9992034,0.0001388228,0.0001188014,0.00006316046,0.00000472093,0.00003612068,0.00004578526,9.371448e-7,0.0003881728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004732875,"threshold_uncertainty_score":0.009410679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09187019556148875,"score_gpt":0.303809304907213,"score_spread":0.2119391093457243,"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."}}