{"id":"W3153289077","doi":"10.1016/j.ekir.2021.03.334","title":"POS-318 PATIENT PREFERENCES FOR RISKS AND BENEFITS OF MEDICATIONS TO MANAGE ANEMIA OF CHRONIC KIDNEY DISEASE: A DISCRETE CHOICE EXPERIMENT","year":2021,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; AstraZeneca (Canada)","funders":"","keywords":"Medicine; Kidney disease; Anemia; Dialysis; Intensive care medicine; Quality of life (healthcare); Complication; Disease; Internal medicine; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01221147,0.001045968,0.001167756,0.0003900492,0.0006981093,0.002329709,0.0008255808,0.003006337,0.01841621],"category_scores_gemma":[0.02266652,0.0005877499,0.001186069,0.0003651753,0.001805592,0.001430087,0.0009651203,0.003139306,0.001294746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195707,"about_ca_system_score_gemma":0.001795335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005578753,"about_ca_topic_score_gemma":0.0004786804,"domain_scores_codex":[0.9943058,0.004137487,0.0003232752,0.0004349893,0.0003741696,0.0004242992],"domain_scores_gemma":[0.9570561,0.03611228,0.002693537,0.001828827,0.0006208527,0.001688344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.380859,0.3265571,0.06274955,0.001768793,0.001823283,0.001068279,0.003794474,0.05307958,0.02277236,0.06294521,0.006423312,0.07615913],"study_design_scores_gemma":[0.1409446,0.4587485,0.05990324,0.0003801894,0.001321506,0.0005010701,0.002752825,0.2258422,0.01286364,0.08329587,0.01286267,0.0005837752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873581,0.00005839819,0.002731867,0.0007985043,0.0001103595,0.002710908,0.0007388329,0.00001999487,0.005473021],"genre_scores_gemma":[0.9852849,0.00007786903,0.004724944,0.0005685245,0.00007029381,0.005707828,0.0002314868,0.000004525903,0.003329634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01841621,"threshold_uncertainty_score":0.06458122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1977974693977877,"score_gpt":0.4211475230512862,"score_spread":0.2233500536534985,"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."}}