{"id":"W4405964056","doi":"10.1093/geroni/igae098.1706","title":"WORKING WITH DIVERSE ELDERS IN RURAL COMMUNITIES (OPPORTUNITIES AND STRENGTHS)","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Gerontology; 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":[0.01255342,0.0006396777,0.000712828,0.0008491457,0.01759144,0.005221359,0.001665375,0.002665827,0.005517879],"category_scores_gemma":[0.007334261,0.0005300564,0.0006360639,0.0006648246,0.003481025,0.004986737,0.01632379,0.002819229,0.001078942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337806,"about_ca_system_score_gemma":0.007044317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005792512,"about_ca_topic_score_gemma":0.02065048,"domain_scores_codex":[0.9947015,0.003273861,0.0001608693,0.0003457601,0.0004349826,0.00108306],"domain_scores_gemma":[0.9930884,0.001026191,0.0003596523,0.0002506498,0.0008342428,0.00444076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007599809,0.0005422409,0.01860697,0.001015796,0.00004282944,0.003135507,0.7970749,0.00007911088,0.002517218,0.003838677,0.02832996,0.1447408],"study_design_scores_gemma":[0.00001724029,0.000424629,0.007238281,0.0007996128,0.00002079752,0.002163395,0.8822049,0.00005139704,0.0001879812,0.001851027,0.1050003,0.00004027792],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8037269,0.0221432,0.005211175,0.1129896,0.005650411,0.0007557576,0.0001428801,0.0001952126,0.04918496],"genre_scores_gemma":[0.921812,0.02111105,0.00964792,0.02670988,0.001230704,0.0007756196,0.00009828614,0.00005182977,0.01856259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01759144,"threshold_uncertainty_score":0.06638962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970093149497246,"score_gpt":0.3127531183007678,"score_spread":0.2430521868057953,"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."}}