{"id":"W2127354627","doi":"10.1111/j.1525-1594.2004.00026.x","title":"Fast Three‐dimensional Numerical Hemolysis Approximation","year":2004,"lang":"en","type":"article","venue":"Artificial Organs","topic":"Blood transfusion and management","field":"Medicine","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hemolysis; In vivo; Computation; Biomedical engineering; Materials science; Computer science; Chemistry; Medicine; Internal medicine; Biology; Algorithm","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":[0.00008828639,0.0001084584,0.0001767405,0.0000810242,0.0001073488,0.00001695757,0.00004854077,0.00005654418,0.0006916626],"category_scores_gemma":[0.00002144199,0.00009340369,0.00008826208,0.0003159043,0.00004120747,0.00005872923,0.00002457996,0.0001129219,0.0007445284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004998136,"about_ca_system_score_gemma":0.00005850989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001207376,"about_ca_topic_score_gemma":0.0001143048,"domain_scores_codex":[0.9990475,0.000009766418,0.0002181719,0.0002275794,0.000307665,0.000189377],"domain_scores_gemma":[0.9995827,0.00001011387,0.00003090795,0.0002004148,0.00005318948,0.0001226409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001233384,0.008757872,0.008514765,0.000270238,0.0008293611,0.0006284653,0.003711008,0.004648556,0.4487586,0.2197342,0.004787589,0.2981259],"study_design_scores_gemma":[0.01440012,0.002251022,0.1405196,0.0003635519,0.002409502,0.0004347444,0.001672605,0.01182412,0.7449157,0.04945106,0.02984966,0.001908266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.862753,0.00003107049,0.1057905,0.0258045,0.0003138939,0.0005623597,0.000004599457,0.0002459642,0.004494192],"genre_scores_gemma":[0.9933962,0.00000246798,0.004325919,0.001848453,0.0001597945,0.00001224153,0.00003349267,0.00001941549,0.0002020731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2962177,"threshold_uncertainty_score":0.9569654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164886931921643,"score_gpt":0.242793986402522,"score_spread":0.2263052932103577,"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."}}