{"id":"W4200123454","doi":"10.2196/preprints.34577","title":"Naturally Occurring Retirement Communities: Scoping Review (Preprint)","year":2021,"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":"Queen's University","funders":"","keywords":"Gerontology; Retirement community; Population; Psychology; Preprint; Medical education; Library science; Medicine; Sociology; World Wide Web; Demography; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01791957,0.001336617,0.004277435,0.01620066,0.00224305,0.006227038,0.002330273,0.004091532,0.01395508],"category_scores_gemma":[0.09325144,0.001394623,0.004207609,0.0229963,0.001566775,0.005309772,0.003486923,0.002186453,0.002104313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008261309,"about_ca_system_score_gemma":0.04618455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213292,"about_ca_topic_score_gemma":0.04637263,"domain_scores_codex":[0.9865827,0.004018054,0.00488857,0.0009238413,0.003097284,0.000489543],"domain_scores_gemma":[0.9149193,0.05532937,0.01081538,0.001648995,0.01640892,0.000878012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001115949,0.00002426199,0.0004993777,0.8724265,0.0008480158,0.0001706957,0.001287001,0.0001042863,0.0001810318,0.001700306,0.02735198,0.09529483],"study_design_scores_gemma":[0.00001874994,0.00003417982,0.0009814088,0.9385708,0.001346154,0.0001364817,0.0006620566,0.00002286749,0.00007275649,0.0002836918,0.05785585,0.00001504524],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006692716,0.9910542,0.0003926197,0.00183302,0.001413078,0.001370643,0.001158325,0.00002003266,0.002088761],"genre_scores_gemma":[0.004670213,0.9883989,0.0009352154,0.00153259,0.0004237884,0.002478463,0.0007661968,0.000015039,0.0007795547],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0213292,"threshold_uncertainty_score":0.09476888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06497159062072061,"score_gpt":0.3842788020540528,"score_spread":0.3193072114333322,"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."}}