{"id":"W3179003137","doi":"","title":"Aggregated and Disaggregated Market Approach to Tourism Led Growth Hypothesis in Pakistan","year":2020,"lang":"en","type":"article","venue":"","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Economics; Causality (physics); Error correction model; Short run; Granger causality; Cointegration; Macroeconomics; Monetary economics; Econometrics; Geography","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":[0.0006453284,0.000154316,0.0002432523,0.001365574,0.0003448164,0.001451836,0.0002327119,0.000198575,0.003626634],"category_scores_gemma":[0.001726315,0.00008475097,0.0003577706,0.00166462,0.0004619655,0.001175485,0.0008152658,0.0004036814,0.0002380398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009728947,"about_ca_system_score_gemma":0.001106772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02863553,"about_ca_topic_score_gemma":0.02586636,"domain_scores_codex":[0.9996368,0.00007943224,0.00002752004,0.00006818568,0.00009531461,0.00009269635],"domain_scores_gemma":[0.9987823,0.0003184465,0.0004026201,0.00007657738,0.0003023808,0.0001175094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764484,0.0002055956,0.9268355,0.0001553875,0.0002562141,0.001685897,0.001446017,0.01644048,0.000749042,0.02019486,0.00293861,0.02891597],"study_design_scores_gemma":[0.00001879418,0.0001700318,0.9340373,0.00005204086,0.000100172,0.0002009296,0.007828003,0.04309079,0.0005317603,0.01015174,0.003789899,0.00002859019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911153,0.000123625,0.001253911,0.0003508595,0.00001578718,0.00002414324,0.0009008329,0.00001114187,0.006204263],"genre_scores_gemma":[0.9990433,0.00007011557,0.0001992616,0.00001508158,0.000006701545,0.000006161195,0.0002942653,0.000001458544,0.0003636667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02863553,"threshold_uncertainty_score":0.05693769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540560765946122,"score_gpt":0.3091397669639629,"score_spread":0.2737341593045017,"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."}}