{"id":"W4308381384","doi":"10.1136/jitc-2022-sitc2022.1350","title":"1350 AI/ML-driven discovery of Collagen Triple Helix Repeat-Containing 1, CTHRC1, a novel proteoglycan for disruption of stromal barriers and enhancement of immunotherapy responses in desmoplastic tumors","year":2022,"lang":"en","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Centre for Phenogenomics","funders":"","keywords":"Stromal cell; Cancer-Associated Fibroblasts; Cancer research; Tumor microenvironment; Breast cancer; Cancer immunotherapy; Pancreatic cancer; Medicine; Immunotherapy; Cancer; Immune system; Immunology; Internal medicine; 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":[0.0003912562,0.0001520757,0.000317357,0.00009191124,0.00008222882,0.00001625119,0.0001008712,0.00006791561,0.000002363631],"category_scores_gemma":[0.0004362865,0.0001636061,0.00007469494,0.00008838569,0.0002387093,0.00001336915,0.00009390851,0.00006081139,1.571227e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004471621,"about_ca_system_score_gemma":0.0005525718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002382796,"about_ca_topic_score_gemma":0.0001066929,"domain_scores_codex":[0.9987949,0.00005272869,0.0005077408,0.0002972429,0.0001565228,0.0001908383],"domain_scores_gemma":[0.9992138,0.00005617348,0.0003451269,0.0002079721,0.0000685694,0.0001083617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001774894,0.00007516734,0.02887211,0.0001528449,0.00007218066,0.000002770213,0.0005078983,0.0008270445,0.9673685,0.000189226,0.00003523541,0.0001221315],"study_design_scores_gemma":[0.00310569,0.00250328,0.05173633,0.0001622417,0.00004897709,0.0000267653,0.001218178,0.0003114961,0.9397818,0.0001832174,0.0006808836,0.0002410665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969195,0.001073871,0.0006923954,0.00009101562,0.00009626662,0.0006165924,0.000499555,0.000002458492,0.000008356187],"genre_scores_gemma":[0.9982219,0.0002012104,0.00117716,0.00005808819,0.00002944948,0.0001364119,0.00009224064,0.00002219435,0.00006133733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02758662,"threshold_uncertainty_score":0.6671664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009338253506615,"score_gpt":0.2456134219118275,"score_spread":0.2355200393767614,"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."}}