{"id":"W4287214579","doi":"10.5281/zenodo.5158039","title":"RE-DEFINING NIGERIAS TAX SYSTEM AMIDST DIGITALISATION OF THEBUSINESS ENVIRONMENT","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001228473,0.0001201443,0.0001334198,0.0006634712,0.003426109,0.004999418,0.0002286274,0.0006801653,0.001542774],"category_scores_gemma":[0.001744171,0.0001067596,0.00009138736,0.0007917778,0.002797417,0.003308125,0.001876909,0.001139757,0.0001430386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006171896,"about_ca_system_score_gemma":0.00945597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047182,"about_ca_topic_score_gemma":0.03471119,"domain_scores_codex":[0.9992433,0.0003276195,0.00005613361,0.0000661029,0.0001376304,0.0001693878],"domain_scores_gemma":[0.9994066,0.0001440341,0.0001147472,0.00005348641,0.0002063317,0.00007478601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005816877,0.00009473491,0.03859028,0.0002637968,0.000006646578,0.001999507,0.05811791,0.001990414,0.002072881,0.8116875,0.004946461,0.08017172],"study_design_scores_gemma":[0.00001927109,0.00008781745,0.05827803,0.001744696,0.00002647136,0.001788279,0.3646885,0.003805962,0.003019854,0.1266427,0.4398457,0.0000527119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.833469,0.002709383,0.00601448,0.01895573,0.000315873,0.0001736247,0.00007529964,0.00001879802,0.1382678],"genre_scores_gemma":[0.9905425,0.001193993,0.001697877,0.000496371,0.00001193067,0.00002046885,0.00002126663,0.000004871478,0.006010688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02047182,"threshold_uncertainty_score":0.04478043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244480385304775,"score_gpt":0.2089387169344156,"score_spread":0.1864939130813678,"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."}}