{"id":"W2901850358","doi":"10.6000/1929-7092.2018.07.72","title":"Improving the Calculation of the Efficiency Assessment of Cash Flow Management in High-Tech Industries","year":2018,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Enterprise Management and Information Systems","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash flow; Business; High tech; Flow (mathematics); Cash flow forecasting; Industrial organization; Economics; Econometrics; Accounting; Mathematics; Political 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":[0.004607326,0.0008027817,0.000633714,0.003783616,0.0004565091,0.001772168,0.00108272,0.0007032868,0.002810928],"category_scores_gemma":[0.01912083,0.0002426156,0.000666601,0.002584893,0.0004877685,0.001948485,0.0008670982,0.0005907836,0.001067772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007571955,"about_ca_system_score_gemma":0.00147422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092418,"about_ca_topic_score_gemma":0.001243905,"domain_scores_codex":[0.9960491,0.001535686,0.0002667869,0.0003203028,0.001688094,0.0001400294],"domain_scores_gemma":[0.9907891,0.003563399,0.0009395396,0.0008919261,0.003687572,0.000128495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003273552,0.0002728949,0.06101818,0.001158513,0.0002331486,0.0002445069,0.0005536309,0.1289581,0.02100275,0.02932592,0.005304459,0.7516006],"study_design_scores_gemma":[0.00005981187,0.0004109389,0.07578744,0.00036742,0.000197962,0.0004431379,0.0003349418,0.8227076,0.05500454,0.02761593,0.0169066,0.0001636508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06850786,0.001106353,0.9225122,0.000237603,0.0001153414,0.000185249,0.0001597011,0.0008584782,0.006317222],"genre_scores_gemma":[0.6785422,0.0008362411,0.3174873,0.00004561863,0.00009592202,0.0001888938,0.0004023849,0.0001283953,0.002273078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004607326,"threshold_uncertainty_score":0.02436614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971103792339136,"score_gpt":0.259440622005529,"score_spread":0.2397295840821376,"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."}}