{"id":"W2398854507","doi":"10.1021/acs.biomac.5b00576","title":"Galactose-based Thermosensitive Nanogels for Targeted Drug Delivery of Iodoazomycin Arabinofuranoside (IAZA) for Theranostic Management of Hypoxic Hepatocellular Carcinoma","year":2015,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Health Solutions","keywords":"Nanogel; Drug delivery; Cytotoxicity; Hepatocellular carcinoma; Cancer research; Targeted drug delivery; Chemistry; Asialoglycoprotein receptor; Radiation therapy; Hypoxia (environmental); Materials science; Nanotechnology; Medicine; Biochemistry; In vitro; Hepatocyte; Internal medicine; Organic 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003309227,0.0003200517,0.0004523686,0.0001047629,0.00006102613,0.00001343718,0.0002755172,0.0001605142,0.00000433507],"category_scores_gemma":[0.00005005918,0.0003042685,0.0003969767,0.0001437619,0.0001905123,0.00000618128,0.00006903425,0.00003621735,0.000001419325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002863887,"about_ca_system_score_gemma":0.0002452294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000880694,"about_ca_topic_score_gemma":0.00002407133,"domain_scores_codex":[0.9982625,0.00009778258,0.0004666587,0.0005069647,0.0002386735,0.0004274704],"domain_scores_gemma":[0.9985123,0.00005696809,0.0003024457,0.0004903088,0.0004864344,0.0001515481],"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":[0.001331077,0.000189042,0.0004707392,0.0003355645,0.0002939928,0.00000539219,0.0001336978,0.00002216537,0.9926038,0.0001338901,0.001891394,0.002589217],"study_design_scores_gemma":[0.004203416,0.0004704299,0.001600288,0.00007267234,0.000250143,0.000005553843,0.0002699972,0.0003504431,0.9870887,0.0002726434,0.005075302,0.0003404228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802054,0.009611744,0.007333187,0.000060478,0.0005282204,0.001489525,0.0006311667,0.00001804405,0.0001222536],"genre_scores_gemma":[0.9933519,0.0001398814,0.005311226,0.0001223702,0.000231852,0.0001978858,0.0004407308,0.00006811056,0.0001360292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314653,"threshold_uncertainty_score":0.9999409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982008252677134,"score_gpt":0.2413304713107783,"score_spread":0.221510388784007,"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."}}