{"id":"W2741978326","doi":"10.1158/1538-7445.am2017-873","title":"Abstract 873: Evaluating immunotherapy effects using preclinical molecular imaging tools for quantitative immune cell tracking","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Izaak Walton Killam Health Centre","funders":"","keywords":"Medicine; Immunotherapy; Immune system; CD8; Cancer immunotherapy; Magnetic resonance imaging; Cancer; Cancer research; Oncology; Immunology; Internal medicine","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":[0.0007737764,0.0005537376,0.0002683841,0.0004821217,0.0001328619,0.0004180697,0.000290134,0.0004156645,0.003308043],"category_scores_gemma":[0.0002947387,0.000188492,0.0002232805,0.0002647606,0.0002569964,0.0003012329,0.0002234843,0.0005915499,0.0008321968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176054,"about_ca_system_score_gemma":0.0002478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005814146,"about_ca_topic_score_gemma":0.0004205873,"domain_scores_codex":[0.9997396,0.00004504975,0.00001612233,0.00004965246,0.000111852,0.00003770349],"domain_scores_gemma":[0.9997717,0.00005855718,0.00007052669,0.00002004564,0.00005774641,0.00002133726],"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":[0.00009163841,0.00004458333,0.0002662529,0.00004264554,0.000002565185,0.000008067746,0.00000867766,0.0004351517,0.9962495,0.0001034741,0.00008414853,0.002663114],"study_design_scores_gemma":[0.00001110417,0.0003564302,0.001132544,0.000006432988,0.00000922957,0.00003276973,0.000007828793,0.006704913,0.9908012,0.00004630091,0.0008873063,0.000004098059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503077,0.001935993,0.1382179,0.0001691872,0.00008176953,0.0003441795,0.0008987546,0.00114396,0.006900523],"genre_scores_gemma":[0.8903867,0.001216834,0.09911299,0.0001223809,0.00002876508,0.0005630774,0.0009056021,0.0001499423,0.007513755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003308043,"threshold_uncertainty_score":0.01106644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2610743072178658,"score_gpt":0.5714686006991136,"score_spread":0.3103942934812479,"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."}}