{"id":"W4298858799","doi":"10.14740/jnr435w","title":"An Enhanced Patient-Specific Computer Model Using an Iterative Multi-Staged Algorithm","year":2017,"lang":"en","type":"article","venue":"Journal of Neurology Research","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign","keywords":"Algorithm; Medicine; Stiffness; Computer science; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001438326,0.0001036848,0.0003755123,0.0003211148,0.0005303734,0.00009769658,0.000238295,0.0001213792,0.00002389106],"category_scores_gemma":[0.0001191138,0.00008705271,0.000212726,0.00006594042,0.0001942753,0.0004773301,0.00008228191,0.00100048,0.000005723858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004807993,"about_ca_system_score_gemma":0.0003334057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001466277,"about_ca_topic_score_gemma":0.00000427666,"domain_scores_codex":[0.9974059,0.0009003292,0.000382005,0.0002619792,0.0006613071,0.0003884902],"domain_scores_gemma":[0.9974704,0.00005561635,0.0002391339,0.0006212895,0.001039303,0.0005742537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01624487,0.00627241,0.006344527,0.0002295355,0.0005676916,0.01031392,0.004395411,0.03973662,0.2570882,0.00003559848,0.0008723164,0.6578989],"study_design_scores_gemma":[0.006874742,0.004353301,0.069798,0.00006828059,0.00006703907,0.001415774,0.0000737415,0.9147401,0.001998021,0.0002578808,0.0002249755,0.0001280729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567715,0.0002447016,0.1420837,0.0003565793,0.0002405312,0.000265424,0.00000488014,0.000006395196,0.00002625244],"genre_scores_gemma":[0.9782013,0.0001196048,0.02067385,0.0003207115,0.0006403544,0.000003465135,0.000005868563,0.00001939502,0.00001540751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8750036,"threshold_uncertainty_score":0.4346642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.183882546179704,"score_gpt":0.4615439158630683,"score_spread":0.2776613696833643,"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."}}