{"id":"W2795166918","doi":"10.1186/s40425-017-0313-7","title":"Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment","year":2018,"lang":"en","type":"article","venue":"Journal for ImmunoTherapy of Cancer","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Tumor microenvironment; Tumor progression; Cancer research; Angiogenesis; Macrophage; Population; Cancer; Medicine; Monocyte; Immunology; Chemistry; Internal medicine; Tumor cells; In vitro","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":[0.0005541906,0.000985265,0.0007948641,0.0007564718,0.0005763689,0.001375953,0.001227644,0.002529709,0.002411096],"category_scores_gemma":[0.001821106,0.0005627708,0.001252218,0.0006134909,0.0008543379,0.0008412529,0.00121778,0.0009287915,0.000459868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201278,"about_ca_system_score_gemma":0.001265841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0134448,"about_ca_topic_score_gemma":0.005190592,"domain_scores_codex":[0.9997073,0.0001157799,0.00001159152,0.00004152288,0.00005833142,0.00006559848],"domain_scores_gemma":[0.9991365,0.000468653,0.000160066,0.0000295214,0.0001388891,0.00006636275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001622552,0.00002052086,0.000784102,0.00003748462,0.00001735095,0.000104396,0.00003163962,0.9836377,0.001214346,0.01270693,0.0004260066,0.001003352],"study_design_scores_gemma":[0.000004301702,0.000005779714,0.00009835165,0.000004550571,0.000003851199,0.00001613048,0.000008011942,0.9977394,0.00007586651,0.001661786,0.0003782707,0.00000366979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2213922,0.004408223,0.7057743,0.00487822,0.0003503816,0.0002080944,0.001495977,0.000424711,0.06106792],"genre_scores_gemma":[0.9325097,0.002506212,0.03701955,0.0004639323,0.0001757766,0.0005294404,0.0005620663,0.0001466695,0.02608671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0134448,"threshold_uncertainty_score":0.0267331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158989538304639,"score_gpt":0.3001841164475346,"score_spread":0.2842851626170707,"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."}}