{"id":"W3101926374","doi":"10.9734/acri/2020/v20i730210","title":"Corona Virus Disease (COVID-19) and Other External Factors as Determinants of Accommodation and Restaurant Services in Kenya","year":2020,"lang":"en","type":"article","venue":"Archives of Current Research International","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accommodation; Real estate; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Business; Goods and services; Marketing; Agricultural economics; Economics; Geography; Finance; Medicine; Disease; Economy; Psychology","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":[0.0003114904,0.0002674173,0.0001469421,0.0007551458,0.000456275,0.0009947399,0.0002378846,0.0002225587,0.002421662],"category_scores_gemma":[0.001122758,0.0001197506,0.0002847842,0.001602917,0.0003471495,0.0005806629,0.0007298659,0.000534949,0.0002400814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160944,"about_ca_system_score_gemma":0.001226456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09641547,"about_ca_topic_score_gemma":0.1535817,"domain_scores_codex":[0.9997359,0.0000520413,0.00001970546,0.0000437687,0.00004633242,0.0001022377],"domain_scores_gemma":[0.9990003,0.0001140611,0.0005475476,0.00001913116,0.0001202689,0.0001986707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002727068,0.00002357265,0.9957145,0.00004009857,0.00002131403,0.0001374042,0.0003310061,0.0001103952,0.0001879975,0.0002351419,0.0003271622,0.002844127],"study_design_scores_gemma":[6.482003e-7,0.00001703573,0.9978921,0.00003258193,0.0000085433,0.00003990062,0.0009961011,0.0002111729,0.00004219223,0.00002993379,0.0007272597,0.000002506794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953293,0.0008100388,0.00008892451,0.0003839336,0.00001159833,0.00001116485,0.001221609,0.000003371785,0.002140191],"genre_scores_gemma":[0.9976567,0.0006822649,0.0001307676,0.00003824144,0.000008585336,0.000007545238,0.0007978185,0.000001689647,0.0006763334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09641547,"threshold_uncertainty_score":0.1917085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2221260723214973,"score_gpt":0.4231427500151101,"score_spread":0.2010166776936128,"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."}}