{"id":"W7072246858","doi":"","title":"When Tourists Displace Tenants: Insights on Airbnb in New York City and Toronto","year":2018,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tourism; Government (linguistics); Sharing economy; Work (physics)","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":[0.0007025004,0.0002100583,0.0002370713,0.001115823,0.0126749,0.006543011,0.001170493,0.001401982,0.02007095],"category_scores_gemma":[0.002140795,0.0002789241,0.0002593649,0.002640407,0.004005909,0.002886297,0.004656716,0.00252159,0.0009801904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02981579,"about_ca_system_score_gemma":0.01747678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9458664,"about_ca_topic_score_gemma":0.9891378,"domain_scores_codex":[0.9987367,0.0002303986,0.00001772255,0.0000724951,0.0001901584,0.0007525236],"domain_scores_gemma":[0.9974163,0.000359681,0.0002821691,0.00004928601,0.0003701961,0.001522459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000176645,0.00009157913,0.1409346,0.0001756204,0.00004799939,0.002356865,0.7246525,0.0003786059,0.0005596805,0.02270679,0.08347462,0.02444453],"study_design_scores_gemma":[0.000003162938,0.0000105676,0.07494112,0.00009296963,0.000007103618,0.00005703937,0.8692243,0.00008367446,0.00004608395,0.0002531335,0.05526616,0.000014681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8388174,0.001508635,0.0002300476,0.01651017,0.0001885354,0.00004852785,0.0008865969,0.00002397679,0.1417862],"genre_scores_gemma":[0.9655139,0.0007870969,0.00008151372,0.001119305,0.00002697799,0.00002207996,0.0002879156,0.00003446528,0.03212667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05413359,"threshold_uncertainty_score":0.2163298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296942323053264,"score_gpt":0.2125798585371779,"score_spread":0.1896104353066452,"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."}}