{"id":"W2587162824","doi":"10.1038/srep42109","title":"Quantifying tumor associated macrophages in breast cancer: a comparison of iron and fluorine-based MRI cell tracking","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Cancer Research Society; London Health Sciences Centre","keywords":"In vivo; Medicine; Cancer research; Magnetic resonance imaging; Voxel; SIGNAL (programming language); Breast cancer; Metastasis; Tracking (education); Iron oxide; Nuclear medicine; Cancer; Pathology; Chemistry; Radiology; Internal medicine; Computer science; Biology; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001198643,0.0001664931,0.0004273177,0.0001643782,0.0006076983,0.0001473481,0.0002559579,0.0001333605,0.0002128814],"category_scores_gemma":[0.0001074893,0.000159693,0.00006949111,0.0001303896,0.0007664896,0.0001552002,0.0001310806,0.0002716316,0.000009406611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009883091,"about_ca_system_score_gemma":0.0001898918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142684,"about_ca_topic_score_gemma":0.0005558488,"domain_scores_codex":[0.9981943,0.0001027666,0.0006303608,0.0005885397,0.00009558103,0.000388432],"domain_scores_gemma":[0.9978282,0.00006190527,0.001122502,0.0008264558,0.000140041,0.00002083794],"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":[0.00003984131,0.0001283469,0.4258661,0.00007035713,0.00001280778,0.00006683065,0.0003382743,0.00009864765,0.5709316,0.000001823348,0.001213807,0.001231681],"study_design_scores_gemma":[0.0007695555,0.00002644131,0.2092387,0.0002529735,0.00003161973,0.00005659382,0.0001567626,0.0001128518,0.7874014,0.00002778804,0.001744022,0.0001812502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868717,0.004692061,0.000006695833,0.0001435975,0.007731148,0.0002223479,0.00002063266,0.00002777342,0.0002840328],"genre_scores_gemma":[0.9987862,0.00002122533,0.00005462844,0.0000102471,0.00001169314,0.00001655997,0.00003520101,0.00001683903,0.001047468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2166273,"threshold_uncertainty_score":0.651209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884790584085421,"score_gpt":0.3102321201483472,"score_spread":0.281384214307493,"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."}}