{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001855673,0.0002126366,0.0001330627,0.0002269546,0.0001229949,0.0002555141,0.0001283788,0.0001580136,0.001086362],"category_scores_gemma":[0.00007556474,0.00007814299,0.0001652718,0.0001585115,0.000122171,0.00007589391,0.00009567421,0.0002988008,0.0003309503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427819,"about_ca_system_score_gemma":0.000279659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000696613,"about_ca_topic_score_gemma":0.001440909,"domain_scores_codex":[0.99992,0.000008088732,0.000004110632,0.00001622924,0.00003687466,0.00001472127],"domain_scores_gemma":[0.9999483,0.000006058057,0.00001643966,0.000003328478,0.000009848007,0.0000160475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004484499,0.0000145449,0.0001595364,0.0000209402,0.000002557737,0.00002200396,0.000003230869,0.000101079,0.9981364,0.00006759784,0.0001305516,0.001296794],"study_design_scores_gemma":[0.00001474703,0.000221299,0.00337657,0.000003538837,0.00001255007,0.0001669096,0.00001288306,0.002002363,0.9890811,0.00004381684,0.005060505,0.000003726965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788542,0.001972445,0.0103692,0.0003876086,0.00008400383,0.000197576,0.003952971,0.0002829611,0.003899112],"genre_scores_gemma":[0.9637783,0.00161353,0.02135836,0.0002810046,0.0000343053,0.0001182286,0.005947835,0.00006362553,0.006804642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001086362,"threshold_uncertainty_score":0.003634214,"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."}}