{"id":"W1978030368","doi":"10.1089/108497802760804745","title":"Flux Through Multicellular Layers of a Technetium-99m-Nitroimidazole for Imaging Hypoxia","year":2002,"lang":"en","type":"article","venue":"Cancer Biotherapy and Radiopharmaceuticals","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Medical Research Council; Medical Research Council Canada","keywords":"Hypoxia (environmental); Nitroimidazole; Chemistry; Population; Metabolism; Technetium; Oxygen; Flux (metallurgy); Biochemistry; Biophysics; Radiochemistry; Biology; Medicine; Nuclear chemistry","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":[0.000290341,0.0002490197,0.0002504044,0.000323356,0.0001853719,0.0003709251,0.0002535455,0.0004363647,0.0005944493],"category_scores_gemma":[0.0002349249,0.0002128646,0.0001344655,0.0002405798,0.0001888416,0.0003873487,0.000216738,0.0003397478,0.0001750308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005903091,"about_ca_system_score_gemma":0.0002650458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582375,"about_ca_topic_score_gemma":0.002898493,"domain_scores_codex":[0.9999001,0.00002600995,0.000003979344,0.0000270952,0.00002481139,0.00001801026],"domain_scores_gemma":[0.9998248,0.00008015044,0.00003354545,0.00001668728,0.00002534059,0.00001949895],"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":[0.00006896016,0.000008794465,0.0001876363,0.00002455276,0.000003112577,0.00002449827,0.00001547899,0.0001139833,0.9981687,0.00007219177,0.00001860352,0.001293446],"study_design_scores_gemma":[0.00000996742,0.0001580622,0.003147545,0.000004596894,0.0000160267,0.0001693173,0.0000189048,0.004047568,0.9910291,0.00002884694,0.001364269,0.000005742967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729002,0.002964185,0.02212725,0.0001217656,0.0000192118,0.00003619482,0.0001291898,0.0001552279,0.001546861],"genre_scores_gemma":[0.970745,0.001678946,0.0241369,0.00003978848,0.000009186546,0.00004003101,0.0002152069,0.00005107242,0.003083925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582375,"threshold_uncertainty_score":0.005134702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282947349751262,"score_gpt":0.3263157922187152,"score_spread":0.2934863187212025,"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."}}