{"id":"W2732059703","doi":"10.1377/hlthaff.2017.0679","title":"Advance Care Planning With Alzheimer’s: A Tortuous Path","year":2017,"lang":"en","type":"article","venue":"Health Affairs","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Path (computing); Medicine; Computer science; Computer network","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":[0.00008525173,0.0001319747,0.0003786531,0.0000425247,0.0002171719,0.00001155697,0.0001142861,0.00004771459,0.00001513953],"category_scores_gemma":[0.0001054278,0.0001013336,0.00004491329,0.00004045543,0.00009887786,0.00009273048,0.00002870431,0.0001449441,0.00001204274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006740726,"about_ca_system_score_gemma":0.0003565167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003185724,"about_ca_topic_score_gemma":0.00008209792,"domain_scores_codex":[0.9990159,0.00001986169,0.0002008916,0.0002200079,0.0002303828,0.000312935],"domain_scores_gemma":[0.998795,0.00003823317,0.0002701112,0.0005194136,0.0001312127,0.0002460305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001320102,0.0001873486,0.8433505,0.002387599,0.0003134974,0.0006708961,0.0547834,0.00005505628,0.0000707425,0.0005880281,0.01225483,0.08401803],"study_design_scores_gemma":[0.008107802,0.007301848,0.1666047,0.0189849,0.0003210765,0.0001223606,0.1319694,0.0001428071,0.002699425,0.00007807439,0.6628976,0.0007699981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4848447,0.3382862,0.001724903,0.01288632,0.001201309,0.00230783,0.0001498311,0.0004151649,0.1581838],"genre_scores_gemma":[0.9903845,0.001018353,0.007864416,0.0003985902,0.0001755047,0.00002020261,0.00002495736,0.00002288271,0.00009064307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6767458,"threshold_uncertainty_score":0.4132265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1640629118576742,"score_gpt":0.472036920280806,"score_spread":0.3079740084231318,"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."}}