{"id":"W3117372321","doi":"10.7895/ijadr.277","title":"Price and income elasticities for alcohol in Sri Lanka","year":2020,"lang":"en","type":"article","venue":"The International Journal of Alcohol and Drug Research","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stockholms Universitet","keywords":"Sri lanka; Economics; Autoregressive integrated moving average; Metropolitan area; Proxy (statistics); Agricultural economics; Wholesale price index; Price index; Price level; Developing country; Time series; Econometrics; Demographic economics; Socioeconomics; Monetary economics; Geography; Mathematics; Economic growth; Statistics","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":[0.0004403057,0.000215318,0.0002323392,0.001042458,0.0002678145,0.0009438697,0.0003298655,0.0002303777,0.006647892],"category_scores_gemma":[0.002057613,0.0002287377,0.0007741816,0.001419736,0.0002820494,0.0005985607,0.0006796427,0.0007319148,0.0008042073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008345979,"about_ca_system_score_gemma":0.0003755737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04829804,"about_ca_topic_score_gemma":0.04225775,"domain_scores_codex":[0.99965,0.00005407878,0.00004182058,0.00008027725,0.00006373728,0.0001100656],"domain_scores_gemma":[0.9982637,0.0003640788,0.0009230738,0.0001095629,0.0001859301,0.0001536976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008597644,0.00004490232,0.9936228,0.00002794682,0.0001591066,0.0002375145,0.0001726696,0.001007386,0.0001895443,0.0004654793,0.000480152,0.003506524],"study_design_scores_gemma":[0.000001936053,0.00002347456,0.9980909,0.000006695163,0.00002502908,0.0000486851,0.0002818926,0.001019715,0.00004113985,0.00008174273,0.000374609,0.000004293445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951929,0.0003295442,0.0001984798,0.0002847048,0.0000115562,0.000009610474,0.001790966,0.0000189774,0.002163323],"genre_scores_gemma":[0.9975296,0.0002267169,0.00006449642,0.00001339735,0.00001452534,0.000004463591,0.001316203,0.000005311201,0.0008254401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04829804,"threshold_uncertainty_score":0.09603381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09437525504951898,"score_gpt":0.3489423819508359,"score_spread":0.2545671269013169,"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."}}