{"id":"W1605679809","doi":"10.1111/j.1423-0410.2010.01443.x","title":"Lipoprotein enrichment in orange insoluble particulate matter reproducibly appearing in cryoprecipitate","year":2010,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Canadian Blood Services","funders":"Canadian Blood Services","keywords":"Cryoprecipitate; Particulates; Chemistry; Lipoprotein; Orange (colour); Chromatography; Environmental chemistry; Food science; Biochemistry; Fibrinogen; Cholesterol","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004357832,0.0003377784,0.0001879672,0.0003811567,0.0001653977,0.0005124176,0.0002069869,0.0003057349,0.0007612801],"category_scores_gemma":[0.0006110513,0.0001345884,0.0001860832,0.000253111,0.0003402773,0.0002000831,0.0003301087,0.0003781462,0.0003130802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988452,"about_ca_system_score_gemma":0.0001326527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003716415,"about_ca_topic_score_gemma":0.0002433616,"domain_scores_codex":[0.9997564,0.00005070269,0.0000314305,0.00005027263,0.00006176201,0.00004945925],"domain_scores_gemma":[0.9994792,0.0001409196,0.0001729617,0.00007115072,0.00008233424,0.00005339937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003113134,0.00003576813,0.004074144,0.00003575415,0.00001357137,0.000636981,0.00006173545,0.00002859189,0.9936001,0.00006160125,0.00003338599,0.001106981],"study_design_scores_gemma":[0.00002849153,0.0006575662,0.04864562,0.00002895059,0.00006138333,0.002934562,0.0001479381,0.0004737982,0.945083,0.00008558321,0.001844963,0.000008118608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968221,0.0005128416,0.001634588,0.0000519929,0.00001838262,0.00002114957,0.00007390111,0.00001868347,0.0008463053],"genre_scores_gemma":[0.9965617,0.0002040434,0.001991582,0.00007027524,0.00002282914,0.00002003738,0.0003240232,0.00001799129,0.0007874666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007612801,"threshold_uncertainty_score":0.002546728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575796842389326,"score_gpt":0.2815019706176644,"score_spread":0.2657440021937711,"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."}}