{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009884759,0.00008008892,0.0000971198,0.00005178319,0.001278414,0.0001500854,0.00007592334,0.00004694817,0.00006469194],"category_scores_gemma":[0.00004293027,0.00005237506,0.00001057999,0.0001325307,0.0002829016,0.0002392376,0.00004125011,0.0000515505,0.00001332419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401418,"about_ca_system_score_gemma":0.0002607944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003245119,"about_ca_topic_score_gemma":0.06015657,"domain_scores_codex":[0.9989439,0.00009645885,0.0001332626,0.0001707322,0.0002888168,0.0003668521],"domain_scores_gemma":[0.9995425,0.00007496659,0.0000192154,0.00005061865,0.0001496476,0.0001630238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006220011,0.00005483806,0.5475609,0.00003578445,0.00006084128,0.000007479198,0.3009901,1.030527e-7,0.00003625256,0.05015368,0.02365889,0.07737902],"study_design_scores_gemma":[0.0005585564,0.00006320894,0.1420031,0.00003518167,0.000002246732,0.000002117592,0.01185227,0.000002028994,0.0001598733,0.01160947,0.8335454,0.0001665157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798526,0.001126323,0.001202017,0.003452881,0.00003633156,0.0002646993,0.000005183745,0.00003164067,0.01402836],"genre_scores_gemma":[0.9937904,0.001981508,0.000529349,0.0000540686,0.0001285466,0.00004730755,0.000003814107,0.000002806112,0.003462139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8098865,"threshold_uncertainty_score":0.9832656,"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."}}