{"id":"W4412704680","doi":"10.32920/29647958","title":"Aging in Third Places: Community Spaces and Social Infrastructure for Older Immigrants","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Aging in place; Older people; Sociology; Gerontology; Economic geography; Geography; Medicine","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":[0.0005852496,0.0002473376,0.0002236013,0.0006137842,0.006068893,0.002658242,0.0005575952,0.000785974,0.00372878],"category_scores_gemma":[0.0008537597,0.0001666912,0.0003290128,0.0005339332,0.002293581,0.001671967,0.005800114,0.0008946161,0.0002476618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002433226,"about_ca_system_score_gemma":0.003993862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07719142,"about_ca_topic_score_gemma":0.2477732,"domain_scores_codex":[0.999684,0.0001007851,0.00001340919,0.00002245005,0.00003863943,0.0001407551],"domain_scores_gemma":[0.9995667,0.00004026146,0.00007989389,0.00002173524,0.00005065218,0.0002407826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000663081,0.0002073521,0.1883164,0.0003601894,0.00003570959,0.003040694,0.7203982,0.0001117051,0.001430129,0.006397941,0.007214968,0.07242043],"study_design_scores_gemma":[0.000003642554,0.0001155229,0.07368292,0.0002318564,0.00002034415,0.0003770179,0.9047819,0.00009200068,0.00009534269,0.0006495166,0.01993427,0.00001572462],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897849,0.000847628,0.0001257381,0.001687409,0.00004391138,0.00001709775,0.00004574599,0.000007175408,0.007440471],"genre_scores_gemma":[0.9973979,0.0006410441,0.0001962808,0.0002894351,0.00001256799,0.0000139968,0.00003088262,0.000002315256,0.001415489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07719142,"threshold_uncertainty_score":0.1534842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219530387762545,"score_gpt":0.3254560259421869,"score_spread":0.3032607220645614,"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."}}