{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553513,0.0002499174,0.0003338997,0.00005317085,0.000115782,0.0000238682,0.0001812604,0.0001501758,0.0002372075],"category_scores_gemma":[0.00002345848,0.0002295508,0.0001712343,0.0001234838,0.000318299,0.00001408777,0.00003424935,0.0001086606,0.000002177843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001853102,"about_ca_system_score_gemma":0.00003714874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002329836,"about_ca_topic_score_gemma":0.000002976199,"domain_scores_codex":[0.9986643,0.00004325936,0.0003059976,0.0004552363,0.0001276313,0.0004035829],"domain_scores_gemma":[0.9993418,0.00003133662,0.0001143737,0.0002846558,0.00008892817,0.000138855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002434872,0.0000850414,0.0002302053,0.0001053828,0.0001474351,7.398627e-7,0.0001865171,0.00003308171,0.9531751,0.0001586616,0.005847666,0.0397867],"study_design_scores_gemma":[0.002097518,0.0000605726,0.00006489977,0.00002194536,0.00006724376,0.0000103395,0.00004383948,0.001110595,0.4496976,0.00004232267,0.5465775,0.0002056584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4744974,0.5111136,0.00833353,0.001619494,0.001817624,0.001285347,0.0003106732,0.00005680243,0.0009654422],"genre_scores_gemma":[0.8624786,0.1267454,0.003650788,0.002950963,0.002448959,0.0002484895,0.00003152464,0.00008731781,0.001357975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5407298,"threshold_uncertainty_score":0.9360808,"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."}}