{"id":"W2774131355","doi":"10.1002/jlcr.3594","title":"Synthesis and evaluation of an <sup>18</sup>F‐labeled trifluoroborate derivative of 2‐nitroimidazole for imaging tumor hypoxia with positron emission tomography","year":2017,"lang":"en","type":"article","venue":"Journal of Labelled Compounds and Radiopharmaceuticals","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Biodistribution; Positron emission tomography; Misonidazole; Nitroimidazole; Radiochemistry; Tumor hypoxia; Hypoxia (environmental); Imaging agent; Specific activity; Nuclear medicine; In vivo; Oxygen; Biochemistry; Internal medicine; In vitro; Radiation therapy","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":[0.0001887555,0.0003621327,0.0002109862,0.00009927042,0.0001470816,0.0001802702,0.0004109112,0.0005517401,0.0006310808],"category_scores_gemma":[0.0001588151,0.0001332697,0.0001865394,0.0001588231,0.0001716499,0.0002406592,0.000131565,0.0003017563,0.000372883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437428,"about_ca_system_score_gemma":0.0003154577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002098976,"about_ca_topic_score_gemma":0.002168966,"domain_scores_codex":[0.9999207,0.00001466344,0.000005195151,0.00001399068,0.00002165495,0.00002366839],"domain_scores_gemma":[0.9999092,0.000008546326,0.00002720598,0.000007648088,0.00002399605,0.0000235311],"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":[0.00005530121,0.0000178081,0.00005423164,0.00004370675,0.000003048173,0.00005581202,0.00001627955,0.0001156783,0.9984674,0.00007168627,0.00003887459,0.001060016],"study_design_scores_gemma":[0.00002710384,0.000470105,0.0006285917,0.000003556706,0.000009682754,0.0001967338,0.00001126392,0.0006868524,0.9961498,0.00001131128,0.001796288,0.00000867738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98278,0.001282671,0.01318185,0.0001777027,0.00002451213,0.0001881754,0.0002622594,0.0001175945,0.001985307],"genre_scores_gemma":[0.9790897,0.0008141579,0.01722439,0.00008457086,0.00001108441,0.00009584524,0.0004833887,0.00003414222,0.002162599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002098976,"threshold_uncertainty_score":0.004173517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025469393297207,"score_gpt":0.3347788390967835,"score_spread":0.3045241451638114,"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."}}