{"id":"W4393341899","doi":"10.1016/j.cities.2024.104924","title":"Where will older adults reside? Evidence from Calgary, Canada","year":2024,"lang":"en","type":"article","venue":"Cities","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Political science; Gerontology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001380556,0.00008652743,0.0001049055,0.00002639102,0.0004514689,0.0001269249,0.0001444883,0.00002791423,0.0006593816],"category_scores_gemma":[0.0001498928,0.00007683517,0.00003313453,0.0001205802,0.0001547495,0.0003121295,0.00002829586,0.00008278497,0.00001993695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282872,"about_ca_system_score_gemma":0.0007664387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929385,"about_ca_topic_score_gemma":0.9988366,"domain_scores_codex":[0.9990492,0.0000716087,0.0001207204,0.0002032726,0.0003450439,0.0002101159],"domain_scores_gemma":[0.9993868,0.0003517552,0.00002245343,0.0001071557,0.00006910438,0.00006265933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004109452,0.000002539178,0.009654869,0.00006362866,0.00002861404,0.00005273467,0.465241,8.317731e-7,0.000002113172,0.004151611,0.5193187,0.001479291],"study_design_scores_gemma":[0.0001481079,0.00001976195,0.1696402,0.002970429,0.00005775358,0.000001084018,0.05637295,0.000127262,0.0001172123,0.008058518,0.7620156,0.0004711806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8939106,0.08803032,0.00006983882,0.00663657,0.001696164,0.000147527,0.00003046606,0.0001648178,0.009313738],"genre_scores_gemma":[0.9660205,0.004606791,0.00005058073,0.0001767024,0.0008334967,0.00001615247,0.00000364483,0.000008393706,0.0282837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.408868,"threshold_uncertainty_score":0.7219766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223420393522327,"score_gpt":0.2549694093490543,"score_spread":0.2427352054138311,"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."}}