{"id":"W2316755250","doi":"10.1016/j.canlet.2016.04.009","title":"Targeting tumor microenvironment in cancer therapy","year":2016,"lang":"en","type":"editorial","venue":"Cancer Letters","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Tumor microenvironment; Cancer; Cancer therapy; Cancer research; Medicine; Oncology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009919528,0.0003340932,0.0002764311,0.00006885423,0.00005174879,0.00003065955,0.0003218735,0.0002305232,0.0003061562],"category_scores_gemma":[0.00003023704,0.0002682192,0.0001204458,0.0000535178,0.000110877,0.000004118167,0.0001138338,0.0002881101,0.00002639518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005581307,"about_ca_system_score_gemma":0.0003753811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772793,"about_ca_topic_score_gemma":0.000635576,"domain_scores_codex":[0.9980718,0.00006477656,0.0002263085,0.000693051,0.0003629034,0.0005811922],"domain_scores_gemma":[0.9993687,0.00002432944,0.0001301303,0.0003392737,0.00003050101,0.0001070972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002115848,0.00002932558,0.001038339,0.00002414247,0.0001266803,0.00002874839,0.00001320426,0.00002369286,0.2789424,4.195102e-8,0.7157667,0.003795085],"study_design_scores_gemma":[0.001829158,0.00008327379,0.000157534,0.0001467236,0.00001029456,3.262739e-7,0.000002641156,4.929442e-7,0.03712584,0.000001315767,0.9603402,0.0003021785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.1415595,0.08173198,0.0000513188,0.003436886,0.7691579,0.001207868,0.00265039,0.00002456496,0.0001795361],"genre_scores_gemma":[0.00644247,0.08348648,0.00003661512,0.001956573,0.9033386,0.001873005,0.0008447567,0.0001513982,0.001870128],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2445735,"threshold_uncertainty_score":0.999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00780497715020416,"score_gpt":0.2958318804229462,"score_spread":0.288026903272742,"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."}}