{"id":"W4248007989","doi":"10.1007/978-3-319-01384-8_107","title":"Incentive tourism","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business; Incentive; Tourism; Economics; Geography; Microeconomics","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":[0.0005487564,0.0003984067,0.0002704384,0.0008487781,0.00132215,0.002927212,0.0007804363,0.001178418,0.111161],"category_scores_gemma":[0.001057455,0.0001637255,0.0003402311,0.0007617892,0.001039563,0.002241842,0.001994481,0.00206535,0.01698098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180596,"about_ca_system_score_gemma":0.002729719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002931167,"about_ca_topic_score_gemma":0.007223015,"domain_scores_codex":[0.999632,0.00007077353,0.000009579881,0.00006125283,0.0001511713,0.00007525064],"domain_scores_gemma":[0.9997937,0.00002788192,0.00001317226,0.00003631193,0.00006548207,0.00006339372],"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":[0.00002891483,0.00009944845,0.0003642029,0.000112733,0.000004832729,0.00004051171,0.0002550806,0.000348432,0.0002509679,0.7454273,0.1396984,0.1133693],"study_design_scores_gemma":[0.000007047868,0.00002969797,0.001042953,0.0001263016,0.000003046654,0.00006855629,0.0002229441,0.0005129849,0.0001406684,0.0511424,0.9466953,0.000008185102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001842836,0.0005429279,0.001572367,0.001592695,0.0004429003,0.00004861952,0.0001051043,0.00005427345,0.9937983],"genre_scores_gemma":[0.04370351,0.001011435,0.001310506,0.0009041809,0.0002342208,0.00006524042,0.0001901325,0.00004332033,0.9525374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.111161,"threshold_uncertainty_score":0.3718708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630622034551653,"score_gpt":0.3226279159196328,"score_spread":0.2863216955741163,"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."}}