{"id":"W2953047243","doi":"10.1002/hon.108_2629","title":"DECIPHERING THE CONTRIBUTION OF MACROPHAGES TO FOLLICULAR LYMPHOMA PATHOGENESIS: NEW INSIGHTS INTO THERAPY","year":2019,"lang":"en","type":"article","venue":"Hematological Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gilead Sciences (Canada)","funders":"","keywords":"CD163; Follicular lymphoma; Follicular dendritic cells; Cancer research; In vivo; M2 Macrophage; CD68; Tumor microenvironment; Cell culture; CD20; Lymphoma; Tumor-associated macrophage; Chemistry; Molecular biology; Macrophage; Medicine; Immunology; Biology; Immunohistochemistry; In vitro; T cell; Immune system; Antigen-presenting cell; Tumor cells","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":[],"consensus_categories":[],"category_scores_codex":[0.0001283842,0.0001698346,0.0006803654,0.00004367917,0.0000586988,0.000007658869,0.0001285053,0.0002145802,0.0002204498],"category_scores_gemma":[0.0001179105,0.00008498629,0.0001773749,0.0002053345,0.00006043192,0.00002517799,0.00007672857,0.00004475227,0.0002346486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174254,"about_ca_system_score_gemma":0.0001968185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008674889,"about_ca_topic_score_gemma":0.00002459628,"domain_scores_codex":[0.9987958,0.0001220633,0.0003512816,0.0002938969,0.0001904655,0.0002465136],"domain_scores_gemma":[0.9989029,0.0003679017,0.0001191244,0.0003318849,0.0001015049,0.000176648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002934982,0.004309989,0.5359756,0.00007128293,0.0007950965,0.001626701,0.001720201,0.00004811144,0.1305389,0.04611532,0.002361683,0.2735021],"study_design_scores_gemma":[0.0126122,0.005514847,0.6377778,0.0001201257,0.0001577321,0.0005767567,0.000224267,0.00006283155,0.1834337,0.002070939,0.1572165,0.0002322981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874697,0.006964134,0.0002231403,0.003464807,0.0001689559,0.0009578484,6.963362e-7,0.00004232483,0.0007083976],"genre_scores_gemma":[0.9956931,0.0006693733,0.001179685,0.002184985,0.00005779184,0.0001193076,0.000008113399,0.00001041152,0.00007723972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2732698,"threshold_uncertainty_score":0.3465641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941334795268278,"score_gpt":0.2990153382497003,"score_spread":0.2796019902970175,"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."}}