{"id":"W2565948811","doi":"10.1659/mrd.mm190","title":"Global Amenity Migration: Transforming Rural Culture, Economy and Landscape","year":2016,"lang":"en","type":"article","venue":"Mountain Research and Development","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amenity; Economic geography; Geography; Business","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":[0.00145861,0.001657908,0.001271491,0.002370263,0.0008747543,0.003163775,0.001340516,0.00233179,0.02476492],"category_scores_gemma":[0.004013168,0.0003071923,0.0003770047,0.005554211,0.00139685,0.003422945,0.001707359,0.002792468,0.007032719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577731,"about_ca_system_score_gemma":0.006755006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448721,"about_ca_topic_score_gemma":0.03492537,"domain_scores_codex":[0.9992505,0.0002401568,0.00007884332,0.00009823876,0.000243969,0.00008834152],"domain_scores_gemma":[0.9969534,0.0008239778,0.0002440653,0.00005440019,0.001500697,0.0004235083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002415388,0.00001869549,0.0001927054,0.007159608,0.00002418004,0.00008799739,0.0004054477,0.0001918831,0.0001782604,0.00424423,0.7408726,0.2466003],"study_design_scores_gemma":[0.00000624251,0.00001568509,0.0007031242,0.004103544,0.00001889742,0.0001294923,0.0007170427,0.0000196186,0.00005778735,0.0007368948,0.99348,0.00001183265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0002187647,0.9539312,0.000136048,0.01475451,0.02219738,0.00001722052,0.0001134415,0.00002180645,0.008609694],"genre_scores_gemma":[0.001830912,0.9860248,0.000174257,0.001984746,0.004140768,0.00001533432,0.0001270418,0.00001317304,0.005689026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02476492,"threshold_uncertainty_score":0.08284694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154431030495079,"score_gpt":0.3474899583664842,"score_spread":0.3059456480615333,"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."}}