{"id":"W4244932892","doi":"10.1093/geront/gnw162.092","title":"AGING WITH IMPAIRMENT: NEEDS ASSESSMENT INSIGHTS FROM SUBJECT MATTER EXPERTS","year":2016,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Police Service; Université de Sherbrooke","funders":"","keywords":"Subject matter; Subject (documents); Psychology; Medicine; Computer science; Library 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002450977,0.0002203241,0.0003274456,0.00005023837,0.001080613,0.00002467226,0.0003472828,0.0001466302,0.001196948],"category_scores_gemma":[0.00001866975,0.00009542995,0.00006512805,0.00009882989,0.0002835835,0.0001602104,0.000136533,0.0002565551,0.0003986497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002970175,"about_ca_system_score_gemma":0.0001426975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00608056,"about_ca_topic_score_gemma":0.004521405,"domain_scores_codex":[0.9979609,0.0006418936,0.0003162562,0.0002682754,0.000264422,0.0005482447],"domain_scores_gemma":[0.9984214,0.0006412943,0.0002125537,0.0005479275,0.00007790526,0.00009888344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001497761,0.0001040096,0.7843536,0.00004372663,0.0001991485,0.00004334598,0.178647,7.047089e-7,0.0007925949,0.002612707,0.03029922,0.002754195],"study_design_scores_gemma":[0.003634991,0.0003283957,0.6912805,0.0009285011,0.0001565861,0.000004393515,0.2471031,0.00001475439,0.0003862556,0.008684903,0.04664749,0.0008301357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480202,0.0006675585,0.002740689,0.006495802,0.0006201211,0.0005494024,0.00001311152,0.0001910988,0.04070203],"genre_scores_gemma":[0.9869196,0.00005263084,0.0001968305,0.005142363,0.0005749444,0.0001889454,0.00001029106,0.00003093957,0.006883403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09307303,"threshold_uncertainty_score":0.9997161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027002583403914,"score_gpt":0.3708498844009578,"score_spread":0.3305798585669187,"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."}}