{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004703615,0.0004988119,0.0008639205,0.00004414347,0.0001593636,0.00003831919,0.0004437976,0.0007050871,0.00002776421],"category_scores_gemma":[0.0001940609,0.0003324831,0.0003725756,0.0001621759,0.0001516026,0.000003794424,0.0001681961,0.000582164,0.00001078104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001658901,"about_ca_system_score_gemma":0.0001420734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008788705,"about_ca_topic_score_gemma":0.000006344768,"domain_scores_codex":[0.9980663,0.00006004865,0.0006129632,0.0006479406,0.0002313459,0.0003814146],"domain_scores_gemma":[0.9983197,0.00004951887,0.0005808288,0.0008045229,0.0001571018,0.00008827808],"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":[0.00003799264,0.00008566916,0.000005352552,0.008553287,0.0005631074,0.000006310545,0.00005505735,0.000001637435,0.1999531,0.0001582502,0.001370881,0.7892093],"study_design_scores_gemma":[0.0001086556,0.00008766255,6.599147e-8,0.002515269,0.0004814842,0.00004776743,0.00001477882,0.000001831668,0.2738155,0.000009843151,0.7225844,0.000332784],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001537983,0.9917107,0.0001051,0.00003271739,0.000271994,0.000471823,0.0000420385,0.00002296608,0.005804724],"genre_scores_gemma":[0.00619558,0.9909982,0.0005213112,0.00004061183,0.001316868,0.00005412946,0.0004421972,0.0001097557,0.0003213626],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7888765,"threshold_uncertainty_score":0.9999127,"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."}}