{"id":"W2561224715","doi":"10.5555/1480-6800.19.1.90","title":"Music and Geography and Retirement","year":2016,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economic geography; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006333044,0.0001438147,0.0001618079,0.001490962,0.002462637,0.003112747,0.0002912656,0.0009689018,0.01557431],"category_scores_gemma":[0.003749683,0.00008347924,0.0001678308,0.001633983,0.002035731,0.001318692,0.001119482,0.000647784,0.000669802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109459,"about_ca_system_score_gemma":0.001388068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02594879,"about_ca_topic_score_gemma":0.06271309,"domain_scores_codex":[0.9996946,0.0001453085,0.00001251949,0.0000188058,0.00003169697,0.00009708812],"domain_scores_gemma":[0.9987935,0.000302919,0.0002163634,0.00005660857,0.0001240493,0.0005065204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005375256,0.001160179,0.5959047,0.0002557702,0.0001601026,0.0009656555,0.08079702,0.0004554008,0.0003784249,0.1024413,0.03348269,0.1834613],"study_design_scores_gemma":[0.00004916983,0.0002163,0.7087004,0.0002670707,0.00007938096,0.0002954295,0.1826262,0.0001681293,0.00007688101,0.02337181,0.08411766,0.00003155211],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819618,0.01536235,0.00009624996,0.02443021,0.0004225296,0.00001350051,0.0002341006,0.000009697383,0.07746961],"genre_scores_gemma":[0.9866059,0.004053713,0.00003312281,0.0004912953,0.0001731311,0.000005250185,0.00004308254,0.00000231799,0.008592146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02594879,"threshold_uncertainty_score":0.05210125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523468393469202,"score_gpt":0.2543625259856063,"score_spread":0.2391278420509143,"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."}}