{"id":"W4393085416","doi":"10.1158/1538-7445.am2024-5552","title":"Abstract 5552: Uncovering clinically significant tumor microenvironment interaction programs across diverse cancers","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Tumor microenvironment; Cancer; Cancer research; Medicine; Computational biology; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006309742,0.0004098659,0.0004917943,0.0006895892,0.0003141425,0.0004937572,0.0003181005,0.0003607508,0.002200875],"category_scores_gemma":[0.001150404,0.0002048022,0.0007349181,0.0005350492,0.0003003534,0.0003105427,0.0005494564,0.0005785804,0.0008227202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175107,"about_ca_system_score_gemma":0.0006856782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021513,"about_ca_topic_score_gemma":0.003795332,"domain_scores_codex":[0.999667,0.00003982761,0.00001681849,0.0001533344,0.00006984485,0.00005313881],"domain_scores_gemma":[0.9995678,0.0001695142,0.00009124962,0.00004794871,0.00007014677,0.00005324671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001171971,0.0001932739,0.205656,0.00142906,0.0005464651,0.0006134827,0.000260711,0.05210264,0.5733866,0.003194611,0.01073971,0.1507056],"study_design_scores_gemma":[0.0001570633,0.001021814,0.4216372,0.0002021869,0.0009140082,0.001914064,0.0004740966,0.3241248,0.2010448,0.01157319,0.03680112,0.0001358767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846071,0.004294693,0.08555403,0.0004514652,0.00007444294,0.0001377275,0.01922255,0.001901833,0.0037561],"genre_scores_gemma":[0.9582299,0.0007653555,0.02665074,0.0002209652,0.00003947657,0.0001149007,0.01277309,0.0001911065,0.001014488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002200875,"threshold_uncertainty_score":0.007362664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06327672240530194,"score_gpt":0.4135254824330007,"score_spread":0.3502487600276988,"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."}}