{"id":"W2017941705","doi":"10.1016/j.ab.2010.07.010","title":"Mapping the myoglobin concentration, oxygenation, and optical pathlength in heart ex vivo using near-infrared imaging","year":2010,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; National Research Council Institute for Biodiagnostics","funders":"Manitoba Health Research Council","keywords":"Myoglobin; Near-infrared spectroscopy; Diffuse reflection; Oxygenation; Infrared; Materials science; Diffuse reflectance infrared fourier transform; Chemistry; Optics; Analytical Chemistry (journal); Chromatography","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":[0.000280708,0.0002438284,0.0002421109,0.0002391605,0.0002584809,0.0003367643,0.0002578502,0.0003543441,0.0005160105],"category_scores_gemma":[0.0003260461,0.0002307002,0.0001028732,0.0001590226,0.0004752383,0.0008198571,0.0002451779,0.0005025709,0.0001010779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690507,"about_ca_system_score_gemma":0.0001564216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004767376,"about_ca_topic_score_gemma":0.0008965433,"domain_scores_codex":[0.9999278,0.00001984939,0.000002172324,0.00002531031,0.00001657682,0.000008411104],"domain_scores_gemma":[0.9998491,0.00007775395,0.00003117417,0.00001068144,0.0000140833,0.00001713155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003529618,0.0000278666,0.001224543,0.00002716182,0.000006651638,0.0000286727,0.00006136148,0.0002465436,0.9935287,0.0001297538,0.00003469063,0.004331188],"study_design_scores_gemma":[0.00003361232,0.0004472528,0.03199393,0.00001692854,0.00006057776,0.0005618494,0.0001519564,0.01343729,0.9517089,0.0007463013,0.000819795,0.00002162252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749717,0.001147823,0.02309148,0.00008927187,0.00001111428,0.00001036483,0.00004505461,0.00004884991,0.000584277],"genre_scores_gemma":[0.9753337,0.001385488,0.02129257,0.00007642256,0.00002868471,0.0000457174,0.00006890336,0.00003614338,0.00173228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005160105,"threshold_uncertainty_score":0.00172621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240631052751866,"score_gpt":0.2900112748244035,"score_spread":0.2776049642968848,"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."}}