{"id":"W4283814818","doi":"10.1111/ajag.13106","title":"‘Enabling places’: Rethinking ‘community’ in ageing‐in‐community in Beijing, China","year":2022,"lang":"en","type":"article","venue":"Australasian Journal on Ageing","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Queen's University","funders":"China Scholarship Council","keywords":"Beijing; Context (archaeology); Interdependence; Active ageing; Institution; Feeling; Sociology; Public relations; China; Geography; Older people; Psychology; Gerontology; Medicine; Social psychology; Political science","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01450162,0.0002180493,0.0004322939,0.0008641004,0.004693832,0.0003199019,0.001075303,0.0001443474,0.000466408],"category_scores_gemma":[0.001215534,0.0002455686,0.0001265861,0.00124044,0.0001170374,0.0006073875,0.0002640478,0.009971719,0.000006220998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702923,"about_ca_system_score_gemma":0.0004316011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04573145,"about_ca_topic_score_gemma":0.09925663,"domain_scores_codex":[0.9900032,0.007027108,0.000877457,0.0001772192,0.0007360774,0.001178977],"domain_scores_gemma":[0.9981018,0.0009484538,0.0003298174,0.0003120062,0.00002411611,0.0002837921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008382801,0.0005053656,0.5868041,0.0001518686,0.00001595928,0.004430423,0.374807,0.01605348,0.00001906849,0.006416942,0.0002796037,0.01043241],"study_design_scores_gemma":[0.001182459,0.0001582963,0.7734077,0.001073767,0.000005335672,0.0000476718,0.2082741,0.000114541,0.000004632612,0.007535492,0.007863631,0.000332354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693099,0.0001396169,0.000005861717,0.00911715,0.0007306867,0.0002276668,0.000002633665,0.00004058265,0.02042588],"genre_scores_gemma":[0.9971315,0.0001580223,0.0001556814,0.001585083,0.0001876165,0.00001568852,0.000003444541,0.00002876387,0.0007342151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1866036,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05184348540804067,"score_gpt":0.3496055891550029,"score_spread":0.2977621037469623,"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."}}