{"id":"W2980007647","doi":"10.1182/blood.v128.22.2378.2378","title":"Wait Times and Bed Capacity for Hematopoietic Cell Transplantation in Ontario: A System Dynamics Model","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Juravinski Hospital; Cancer Care Ontario","funders":"","keywords":"Hematopoietic cell; Transplantation; Benchmark (surveying); Medicine; Operations management; Hematopoietic stem cell transplantation; Waiting list; Emergency medicine; Operations research; Surgery; Engineering; Haematopoiesis; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007762294,0.0008780943,0.0005329095,0.0007951088,0.001321314,0.00157658,0.001568461,0.001325417,0.006122566],"category_scores_gemma":[0.002190847,0.0006569937,0.000831752,0.0008850229,0.001027956,0.0008484655,0.0009127054,0.0008396231,0.0004056459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02230544,"about_ca_system_score_gemma":0.01539543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8652518,"about_ca_topic_score_gemma":0.735941,"domain_scores_codex":[0.9995796,0.00009138752,0.00001360098,0.00008107519,0.0000787546,0.0001556195],"domain_scores_gemma":[0.9989448,0.0004136025,0.0001637148,0.00002238723,0.0003144163,0.0001410945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009038755,0.00004655482,0.01022553,0.00003525938,0.00002206185,0.0001337879,0.0001576264,0.9834889,0.0002347936,0.003220621,0.00104925,0.001295311],"study_design_scores_gemma":[0.00008640614,0.00004697816,0.006366646,0.00001315754,0.00002563896,0.00001712085,0.0002089856,0.9906449,0.00006549879,0.001063417,0.001443777,0.00001740548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239688,0.0002878254,0.02530545,0.002374061,0.00005634189,0.0003854563,0.01112843,0.0002243903,0.03626925],"genre_scores_gemma":[0.9864374,0.0001546699,0.003167741,0.00005293833,0.00001124159,0.0001703855,0.001589917,0.00001342639,0.008402131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1347482,"threshold_uncertainty_score":0.2710834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04113474087259816,"score_gpt":0.3086235273791422,"score_spread":0.2674887865065441,"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."}}