{"id":"W2202837918","doi":"10.1093/pch/16.6.333a","title":"Case 1: A blue infant with chocolate-coloured blood","year":2011,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Methemoglobinemia and Tumor Lysis Syndrome","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science North","funders":"","keywords":"Medicine; Dark chocolate; Dried blood; Pediatrics; Food science; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005931315,0.004884388,0.002247514,0.004466811,0.00345777,0.002631467,0.003546067,0.01437245,0.005290922],"category_scores_gemma":[0.009480079,0.001963593,0.002698327,0.002345913,0.003270914,0.003327548,0.00356189,0.009396052,0.001951767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236454,"about_ca_system_score_gemma":0.001236605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145254,"about_ca_topic_score_gemma":0.002470847,"domain_scores_codex":[0.9986632,0.0001487009,0.0001466217,0.0002996091,0.0002448471,0.000496913],"domain_scores_gemma":[0.9961875,0.001264462,0.0007766076,0.0003161749,0.0002631521,0.001192023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00001726004,0.00001696461,0.0005784814,0.000009817839,0.000001549682,0.9987341,0.0000471854,0.00002107452,0.0001615723,0.0001057911,0.0000943021,0.0002119769],"study_design_scores_gemma":[0.000009800496,0.00006735419,0.001144944,0.000009787727,0.000007221837,0.9976612,0.0001104824,0.0001049828,0.0004038794,0.0001257825,0.0003464884,0.000008063544],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193483,0.005088771,0.005582926,0.02746161,0.004064507,0.0005585514,0.0009816102,0.0006163421,0.03629736],"genre_scores_gemma":[0.9819702,0.002337454,0.003486611,0.003106877,0.003639533,0.0001156406,0.000234635,0.000137353,0.004971719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01437245,"threshold_uncertainty_score":0.0176999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221162919361856,"score_gpt":0.2558622055385574,"score_spread":0.2336505763449389,"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."}}