{"id":"W7035931332","doi":"","title":"Advance planning for healthcare and research participation: law, ethics and practice","year":2019,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advance care planning; Inclusion (mineral); Health care; Plan (archaeology); Dementia; Action (physics); Action plan; Focus group; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002717299,0.00009162311,0.0001294365,0.000001586642,0.0008379288,0.00008939579,0.00008716791,0.0002436273,0.0008940827],"category_scores_gemma":[0.003246526,0.00004121638,0.00002263548,0.0001080849,0.00001106323,0.00008217595,0.00005113088,0.0005077681,0.00003702445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001276857,"about_ca_system_score_gemma":0.000009012486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174068,"about_ca_topic_score_gemma":0.001771467,"domain_scores_codex":[0.9990829,0.0001040602,0.0001268624,0.0002978668,0.0001852412,0.0002031202],"domain_scores_gemma":[0.9936278,0.005712871,0.00009459724,0.00004074835,0.0004523176,0.00007160958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007804041,0.0002477368,0.0001768757,0.005653344,0.0001237824,0.000006771862,0.009064972,0.000006755059,0.002029988,0.02149541,0.221693,0.738721],"study_design_scores_gemma":[0.00005234027,0.0001635317,0.006994155,0.0008491077,0.000007699237,0.000001062258,0.00388586,0.00002000424,0.00003853194,0.0003675484,0.9874986,0.0001215487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1204149,0.09421255,0.000001511146,0.1391015,0.0004973414,0.01112618,0.6051762,0.0003445716,0.02912527],"genre_scores_gemma":[0.7122686,0.000726853,0.0003068996,0.002212317,0.0007218471,0.003286405,0.2785718,0.000006599988,0.001898612],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7658056,"threshold_uncertainty_score":0.9789578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4196727231814338,"score_gpt":0.5134055707735256,"score_spread":0.09373284759209177,"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."}}