{"id":"W2050023299","doi":"10.1038/ncomms6834","title":"Hypoxia-specific ultrasensitive detection of tumours and cancer cells in vivo","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":359,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"In vivo; Cancer cell; Cancer research; Hypoxia (environmental); Cancer; Pathology; Metastasis; Lymph node; Tumor microenvironment; Preclinical imaging; Chemistry; Biology; Medicine; Oxygen; Internal medicine; Tumor cells","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009185779,0.00007861241,0.0001114436,0.0001010685,0.0000273633,0.000008107091,0.0001888828,0.0001345214,0.000002596893],"category_scores_gemma":[0.0000205885,0.00008272658,0.00001784932,0.000264128,0.00006837222,0.00008831146,0.00003544716,0.0004375478,0.000001737237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365894,"about_ca_system_score_gemma":0.00002087819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007893354,"about_ca_topic_score_gemma":0.001781401,"domain_scores_codex":[0.9995986,0.00001828751,0.0001392427,0.00006675097,0.00008193401,0.00009522464],"domain_scores_gemma":[0.999265,0.0001179497,0.00003113285,0.0004547737,0.00008592577,0.00004528726],"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":[0.00001495498,0.0000264876,0.000705426,0.00001436798,0.00001902611,7.147777e-7,0.001164512,0.00183661,0.9905722,0.0003782641,0.0007297253,0.004537752],"study_design_scores_gemma":[0.0005999961,0.0000248705,0.004658819,0.00006370957,0.00001856219,0.000004789028,0.0005633575,0.004897775,0.9635218,0.0003847512,0.02507752,0.0001840668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548604,0.04071954,0.0006127835,0.0001659955,0.0005907771,0.0002757713,0.0001487152,0.0001247305,0.002501306],"genre_scores_gemma":[0.9939945,0.004815124,0.001100409,0.00001756244,0.00002097424,0.00001673068,0.000004950467,0.00001792581,0.00001185726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03913408,"threshold_uncertainty_score":0.3373492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187780415906934,"score_gpt":0.2502495663797435,"score_spread":0.2314715247890501,"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."}}