{"id":"W3115674890","doi":"10.1093/geront/gnaa221","title":"The Legacy of Helen Q. Kivnick","year":2020,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Art; History","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":[0.0006567093,0.0001210459,0.0002175977,0.00001233711,0.0003180061,0.00003328256,0.001023005,0.00009802952,0.0004568844],"category_scores_gemma":[0.0002794684,0.00006030381,0.00009476351,0.0001369298,0.001138062,0.0000403793,0.0001486159,0.0003801335,0.0006937788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001481239,"about_ca_system_score_gemma":0.00003988981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006990029,"about_ca_topic_score_gemma":0.0003494609,"domain_scores_codex":[0.9984012,0.000457212,0.000262648,0.0002477015,0.0001765868,0.0004546091],"domain_scores_gemma":[0.9983612,0.0007190591,0.000116875,0.0006663284,0.00005680297,0.00007968563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00213491,0.0002287271,0.01697025,0.0000460531,0.000748246,0.00009726649,0.03401937,0.00001219485,0.0004240607,0.2976306,0.4884091,0.1592793],"study_design_scores_gemma":[0.004453402,0.00250704,0.1784056,0.00003445925,0.0002274861,0.0002493869,0.07592355,0.0007182307,0.001676335,0.008134568,0.7267275,0.0009424303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4766093,0.01433993,0.001657066,0.1790063,0.001135074,0.0006487281,0.0000142702,0.0002401742,0.3263492],"genre_scores_gemma":[0.9911155,0.00002079022,0.00004253433,0.0008223258,0.0001855118,0.00003746087,0.000001989844,0.00001186922,0.007762084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5145062,"threshold_uncertainty_score":0.8917354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115560340971247,"score_gpt":0.3829089457622875,"score_spread":0.2673486047910405,"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."}}