{"id":"W2013465312","doi":"10.1002/cbic.201000291","title":"Reviving Artificial Blood: Meeting the Challenge of Dealing with NO Scavenging by Hemoglobin","year":2010,"lang":"en","type":"review","venue":"ChemBioChem","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Blood Services","keywords":"Hemoglobin; Heme; Scavenging; Chemistry; Affinities; Biochemistry; Nitrite reductase; Nitrite; Red blood cell; Enzyme; Organic chemistry; Antioxidant","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":[0.001027483,0.0007603844,0.0008683272,0.001026015,0.0003308119,0.001033307,0.001187589,0.00201331,0.001380998],"category_scores_gemma":[0.0008037312,0.0002802911,0.0003193811,0.0009837305,0.001163594,0.00218745,0.0006777769,0.003141256,0.001834696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009177594,"about_ca_system_score_gemma":0.000738468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129744,"about_ca_topic_score_gemma":0.001252397,"domain_scores_codex":[0.999749,0.00005039293,0.00002431847,0.00003056824,0.0001262705,0.00001948838],"domain_scores_gemma":[0.9996532,0.000144069,0.00003674236,0.00001763971,0.0001165581,0.00003187808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007456651,0.00006569893,0.0001146143,0.007062944,0.0000602674,0.000324086,0.0001538619,0.000537922,0.009613254,0.02374954,0.04501401,0.9132292],"study_design_scores_gemma":[0.00001510695,0.00006419532,0.0002243671,0.0007179974,0.00002798059,0.001114076,0.00005998781,0.0001575311,0.002954171,0.004709584,0.9899379,0.00001721554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003310659,0.9952591,0.0009414717,0.001307946,0.0006785762,0.000004550293,0.00000685607,0.00001088505,0.0014596],"genre_scores_gemma":[0.001542259,0.9950746,0.0007240197,0.0006651266,0.0003355872,0.000007391151,0.00001236415,0.000004150792,0.001634603],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00201331,"threshold_uncertainty_score":0.006658852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284606408714338,"score_gpt":0.2555358699438623,"score_spread":0.242689805856719,"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."}}