{"id":"W2046213146","doi":"10.1177/0733464815577139","title":"Dying With Carolyn","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Gerontology","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Canadian Institutes of Health Research","keywords":"Gerontology; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003118256,0.00008337968,0.0003088395,0.0001404912,0.00002959004,0.000005482176,0.00006452668,0.00009052181,0.0000729345],"category_scores_gemma":[0.00003321568,0.0000612471,0.00003096244,0.0001098517,0.00005224982,0.00004230945,0.000006378101,0.0002597572,0.00001960481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335222,"about_ca_system_score_gemma":0.0009964489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002543284,"about_ca_topic_score_gemma":0.00001103725,"domain_scores_codex":[0.9990764,0.00002215693,0.0003744619,0.00009303688,0.000264847,0.0001691486],"domain_scores_gemma":[0.9984978,0.0001202846,0.0003217072,0.0001573988,0.0006158098,0.0002870077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01033592,0.0004574543,0.919422,0.0002187229,0.0004160765,0.0003203646,0.02303713,0.005149446,0.001465537,0.003819853,0.02291755,0.01243995],"study_design_scores_gemma":[0.04587675,0.01162766,0.7923397,0.0005499393,0.001367777,0.02191613,0.06870203,0.001298025,0.008028236,0.006790288,0.0403746,0.001128899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827881,0.0003429572,0.00111423,0.004449857,0.0004730284,0.0001659341,3.408995e-7,0.0000160205,0.01064955],"genre_scores_gemma":[0.9910354,0.000003021328,0.007295311,0.001057342,0.0005129686,0.00000546659,0.000002721771,0.00001397499,0.00007381393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270823,"threshold_uncertainty_score":0.2497585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09630399394227876,"score_gpt":0.3669636099707856,"score_spread":0.2706596160285069,"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."}}