{"id":"W2152350468","doi":"10.1177/0047287506288886","title":"How Big, How Many? Enterprise Size Distributions in Tourism and Other Industries","year":2006,"lang":"en","type":"article","venue":"Journal of Travel Research","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Business; Dominance (genetics); Economic geography; Industrial organization; Recreation; Entertainment; Marketing; Distribution (mathematics); Assertion; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122298,0.00007489714,0.0001889853,0.001186117,0.0003210755,0.0008871391,0.0002690594,0.0003130925,0.002946377],"category_scores_gemma":[0.00729469,0.0001002564,0.0001135652,0.001310707,0.0007935034,0.00146665,0.0006906126,0.0002577306,0.0004138412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003149018,"about_ca_system_score_gemma":0.0001845463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405755,"about_ca_topic_score_gemma":0.003935089,"domain_scores_codex":[0.99934,0.0003088755,0.0000485296,0.0001053199,0.0001126574,0.00008460427],"domain_scores_gemma":[0.9930406,0.004413559,0.00111939,0.000203739,0.0004364255,0.0007863035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002547977,0.00006790242,0.9485144,0.00005475185,0.00004526288,0.0003115604,0.003740791,0.0007123711,0.001151091,0.003787994,0.001112819,0.0402463],"study_design_scores_gemma":[0.000005199767,0.00006592497,0.982808,0.00002688649,0.00001035866,0.0004950627,0.009646138,0.001182337,0.0002899161,0.003639824,0.001819142,0.00001133915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942578,0.0005262753,0.0005963751,0.0004356303,0.000005425028,0.000005331003,0.0001079676,0.000004989607,0.004060081],"genre_scores_gemma":[0.9994118,0.0001104528,0.00009929741,0.0000221531,0.000007058517,0.000002531695,0.00003607044,0.000002274653,0.0003084879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002946377,"threshold_uncertainty_score":0.009856641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07964975038124084,"score_gpt":0.3726807912632493,"score_spread":0.2930310408820084,"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."}}