{"id":"W3135766757","doi":"10.1016/j.immuni.2021.02.012","title":"Cancer immunotherapy: Macs in the middle","year":2021,"lang":"en","type":"letter","venue":"Immunity","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Institute of Infection and Immunity; Université de Montréal; Canadian Liver Foundation","keywords":"Biology; Cancer; Cancer immunotherapy; Immunotherapy; Immunology; Cancer research; Computational biology; Genetics","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005679879,0.0003696366,0.0005940286,0.0001603049,0.0001171825,0.00007982195,0.0005545352,0.0006989895,0.001541605],"category_scores_gemma":[0.00003065325,0.0002538569,0.0003953355,0.0005629422,0.000197809,0.00005170833,0.0000583892,0.003588296,0.00001619305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527943,"about_ca_system_score_gemma":0.0005501568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009880916,"about_ca_topic_score_gemma":0.0006223068,"domain_scores_codex":[0.9977607,0.0005124543,0.0004484919,0.0003115863,0.0004973565,0.0004694144],"domain_scores_gemma":[0.998121,0.0002271705,0.0001677665,0.001359597,0.0001031725,0.00002135177],"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":[0.0005362791,0.0001605052,0.001008362,0.0003022273,0.0005208655,0.0009150946,0.002250648,2.298386e-7,0.002848942,0.000002222964,0.9750068,0.01644781],"study_design_scores_gemma":[0.001912994,0.0001028533,0.01026763,0.0007581104,0.00009221505,0.000182646,0.0005253808,0.000002539923,0.0004507251,0.00003600557,0.9853771,0.000291835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05663042,0.05832169,0.000004353316,0.8764663,0.001508469,0.000912663,0.00008979943,0.0001116362,0.005954639],"genre_scores_gemma":[0.007397047,0.008000623,0.00004619241,0.9750583,0.001959161,0.0002551071,0.0005417273,0.0001287025,0.006613147],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09859197,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0606630888192051,"score_gpt":0.3040101587957556,"score_spread":0.2433470699765505,"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."}}