{"id":"W1976429759","doi":"10.1158/1538-7445.panca2012-a43","title":"Abstract A43: Targeting tumor hypoxia in patient-derived pancreatic xenografts using TH302.","year":2012,"lang":"en","type":"article","venue":"","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Hypoxia (environmental); Tumor hypoxia; Cancer research; Pancreatic cancer; Tumor microenvironment; Radiation therapy; Medicine; Cancer; Metastasis; Pathology; Internal medicine; Chemistry; Oxygen","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":[0.0002100843,0.0003260103,0.0002570371,0.0001830778,0.0001019185,0.0002074801,0.0001573644,0.0002673721,0.001247744],"category_scores_gemma":[0.0000716597,0.0001520748,0.0002324188,0.0001727286,0.0001326559,0.0001606184,0.000114706,0.000528883,0.0003094064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777643,"about_ca_system_score_gemma":0.0002962495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007092299,"about_ca_topic_score_gemma":0.001064275,"domain_scores_codex":[0.9999143,0.00001938673,0.000006248777,0.00001939892,0.00002384284,0.00001682785],"domain_scores_gemma":[0.9999484,0.000008590527,0.00001098857,0.000009541349,0.000004885869,0.00001758099],"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":[0.0004927495,0.000241164,0.0002317089,0.00006048404,0.0000149253,0.00006895212,0.00002151949,0.0002838554,0.9955049,0.0001126469,0.0001808982,0.002786201],"study_design_scores_gemma":[0.0001817432,0.004851162,0.002959912,0.000006489842,0.00003729624,0.0006416494,0.00001799537,0.00128571,0.985108,0.00003349366,0.004870425,0.000006101418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925391,0.00162309,0.002286159,0.0001157385,0.00005297798,0.000155343,0.0006388302,0.0001036073,0.002485125],"genre_scores_gemma":[0.9919138,0.001298498,0.003210379,0.00005955283,0.00001272515,0.00008584067,0.001088146,0.00002823796,0.002302724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247744,"threshold_uncertainty_score":0.004174113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407439850722441,"score_gpt":0.2480549940231778,"score_spread":0.2339805955159534,"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."}}