{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000823,0.0002435171,0.000397379,0.0004651724,0.00004654062,0.00004971833,0.000149852,0.0001685228,0.0004010694],"category_scores_gemma":[0.0004249203,0.0002348816,0.00008020091,0.0007449516,0.0000699297,0.0001921638,0.00008996941,0.0006288948,0.0007001248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247323,"about_ca_system_score_gemma":0.00007780456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099964,"about_ca_topic_score_gemma":0.002914093,"domain_scores_codex":[0.9975746,0.00008309574,0.0006313422,0.0007509442,0.0003928195,0.0005671987],"domain_scores_gemma":[0.9986269,0.00005532939,0.0001229814,0.0009441534,0.00008728589,0.0001632942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003908142,0.0005667717,0.8494176,0.0002308735,0.00003027377,0.0003531725,0.005975914,0.00005473898,0.08864621,0.00009564784,0.001205531,0.05303248],"study_design_scores_gemma":[0.00245129,0.0001371123,0.9637545,0.0002254157,0.00002483436,0.00003039852,0.0002926044,0.0002086898,0.02670695,0.000295374,0.005600853,0.0002719503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887889,0.0002598994,0.0000222861,0.003285168,0.0006125747,0.001063919,0.000004623074,0.00009929112,0.005863318],"genre_scores_gemma":[0.9949154,0.00001962563,0.003216704,0.0005909871,0.0002387901,0.0002189538,0.00002275749,0.00005562544,0.0007211895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114337,"threshold_uncertainty_score":0.9578192,"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."}}