{"id":"W3119730599","doi":"10.1158/1078-0432.ccr-20-3241","title":"Network for Biomarker Immunoprofiling for Cancer Immunotherapy: Cancer Immune Monitoring and Analysis Centers and Cancer Immunologic Data Commons (CIMAC-CIDC)","year":2021,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Cancer Institute; Dana-Farber Cancer Institute; University of Texas MD Anderson Cancer Center; Stanford University; Language Literacy and Culture, University of Maryland, Baltimore County","keywords":"Cancer; Biomarker; Clinical trial; Medicine; Harmonization; Cancer immunotherapy; Cancer biomarkers; Immunotherapy; Oncology; Computational biology; Internal medicine; Biology","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":[0.05221078,0.001416043,0.00139987,0.005660622,0.002366563,0.007191806,0.005604751,0.002272396,0.03714372],"category_scores_gemma":[0.04978008,0.0007342366,0.000981279,0.006665281,0.001529469,0.005270591,0.01322367,0.004044434,0.01956685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008401771,"about_ca_system_score_gemma":0.03660492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009028411,"about_ca_topic_score_gemma":0.005686239,"domain_scores_codex":[0.9847929,0.006071986,0.001156202,0.002357626,0.0041793,0.001441883],"domain_scores_gemma":[0.9077272,0.01521847,0.006658525,0.0182545,0.03089458,0.02124677],"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":[0.0009410215,0.0002446327,0.01067081,0.0009102987,0.0001163718,0.0001106577,0.0003422038,0.004249908,0.002615281,0.03219822,0.6739306,0.2736699],"study_design_scores_gemma":[0.0002217583,0.0001454756,0.004654876,0.000516606,0.00006097492,0.0001364954,0.0001374461,0.01082373,0.002931218,0.009392277,0.9709075,0.00007162258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02826172,0.01811511,0.3181936,0.1398063,0.0139697,0.01306673,0.1655239,0.04543522,0.2576278],"genre_scores_gemma":[0.1403327,0.008892363,0.4428074,0.02204992,0.004424731,0.01739381,0.288467,0.007872277,0.06775978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05221078,"threshold_uncertainty_score":0.2761203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3676095191710771,"score_gpt":0.5418912594727787,"score_spread":0.1742817403017016,"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."}}