{"id":"W4211115282","doi":"10.1093/geront/gnw162.642","title":"OPTIMIZING COMMUNITY SUPPORT FOR THE OLDEST-OLD IN AGE-FRIENDLY CITY DEVELOPMENT","year":2016,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Gerontology; Geography; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002923614,0.00009857926,0.0001433363,0.0000203128,0.002366014,0.00005198645,0.0005756235,0.00005130567,0.00006580615],"category_scores_gemma":[0.0005010106,0.00004507111,0.00004628532,0.00009595187,0.0007730068,0.00009595114,0.00009883834,0.0001255014,0.00001092861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384458,"about_ca_system_score_gemma":0.0001204693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04688544,"about_ca_topic_score_gemma":0.5664637,"domain_scores_codex":[0.9988191,0.0003434916,0.00020183,0.0001164596,0.0001712033,0.0003479845],"domain_scores_gemma":[0.998296,0.001242207,0.00009572796,0.0002770945,0.00005582052,0.00003317895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004389276,0.00009282414,0.02450939,0.000009643441,0.00005204979,0.000003386081,0.919089,0.000005710642,0.00002499526,0.01708515,0.01805601,0.02102796],"study_design_scores_gemma":[0.0009208964,0.00009292204,0.5604596,0.00004410615,0.00003704805,0.000001339401,0.03308386,0.00001295615,0.0002252839,0.006268684,0.3985148,0.0003385079],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500477,0.0005898126,0.01640591,0.01497845,0.0005755771,0.001020366,0.00001020043,0.0001391477,0.01623278],"genre_scores_gemma":[0.9900218,0.0001969328,0.001281154,0.000234518,0.0001077777,0.0001235231,0.000001608061,0.000005103815,0.008027563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8860051,"threshold_uncertainty_score":0.9989328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09709692567142779,"score_gpt":0.3433788366824485,"score_spread":0.2462819110110207,"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."}}