{"id":"W2751100827","doi":"10.3390/soc7030021","title":"Queering Aging Futures","year":2017,"lang":"en","type":"article","venue":"Societies","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Futures contract; Heteronormativity; Queer; Diversity (politics); Sociology; Successful aging; Gender studies; Aesthetics; Space (punctuation); Linguistics; Art; Anthropology; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0002259235,0.00006309515,0.0000898863,0.00001578771,0.0008819426,0.00009028467,0.000318704,0.00008368088,0.0005539248],"category_scores_gemma":[0.00003654677,0.0000567705,0.00005856899,0.00001022484,0.0002763712,0.00006086513,0.00009197328,0.0002029034,0.0002934987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001219777,"about_ca_system_score_gemma":0.00001236668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002107967,"about_ca_topic_score_gemma":0.00003207567,"domain_scores_codex":[0.9993942,0.00003516303,0.00005987255,0.0001496325,0.00008801177,0.0002731691],"domain_scores_gemma":[0.9994152,0.00003734409,0.00003983877,0.0004495085,0.00002311912,0.00003500026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000304864,0.00005809638,0.14859,0.0000530022,0.0003075782,0.00007597833,0.07663045,0.000001746943,0.0002231762,0.06775615,0.6471532,0.05912013],"study_design_scores_gemma":[0.0009192969,0.00007646083,0.8279072,0.00004502138,0.00002499191,0.00003522931,0.07455061,0.00003380014,0.0004928455,0.01227366,0.08321743,0.0004234686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5966767,0.002194352,0.0001946891,0.006243102,0.001365401,0.00005501531,0.00000185059,0.0001228352,0.3931461],"genre_scores_gemma":[0.9152847,0.000009108072,0.000137533,0.0001741118,0.0003455711,0.00001404178,7.985494e-7,0.000009280767,0.08402488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6793172,"threshold_uncertainty_score":0.6783279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07113961276351884,"score_gpt":0.4458306915191962,"score_spread":0.3746910787556774,"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."}}