{"id":"W2419666277","doi":"10.1139/o11-047","title":"The impact of the ovarian microenvironment on the anti-tumor effect of SPARC on ovarian cancer<sup>1</sup>This article is part of Special Issue entitled Asilomar Chromatin and has undergone the Journal’s usual peer review process.","year":2012,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Bone and Dental Protein Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Scheme for Promotion of Academic and Research Collaboration","keywords":"Ovarian cancer; Tumor microenvironment; Stroma; Osteonectin; Cancer research; Ovarian tumor; Serous fluid; Ovary; Medicine; Cancer; Chemistry; Biology; Pathology; Internal medicine; Immunohistochemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001172975,0.0001383927,0.0001990944,0.0001359836,0.00009186713,0.0002917156,0.000128719,0.0001795701,0.001815994],"category_scores_gemma":[0.0000704589,0.00008979272,0.0001334673,0.00008194065,0.0002077085,0.0001586506,0.0001444221,0.0003687424,0.000231538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230857,"about_ca_system_score_gemma":0.0001868027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003737705,"about_ca_topic_score_gemma":0.0007708046,"domain_scores_codex":[0.9999009,0.00001582556,0.000006629162,0.00001486611,0.0000321036,0.00002961152],"domain_scores_gemma":[0.9998988,0.00001749151,0.00002451374,0.00001100881,0.00001111405,0.0000371152],"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":[0.0002259873,0.00003315372,0.0004809455,0.00005396139,0.000004606998,0.00004115068,0.00001540793,0.00005561031,0.9964095,0.00005949043,0.00008052916,0.002539524],"study_design_scores_gemma":[0.00003116134,0.001198161,0.02305781,0.00001404215,0.0000347922,0.0003581564,0.00009734627,0.0006210819,0.9696686,0.00004056816,0.004872722,0.000005545441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995065,0.001884764,0.000682606,0.0001079385,0.00004205742,0.00001974369,0.0003478673,0.00005221646,0.001797692],"genre_scores_gemma":[0.9960603,0.0009241977,0.000580719,0.00006826913,0.00001394513,0.00001930006,0.0004042979,0.00002345926,0.001905481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001815994,"threshold_uncertainty_score":0.006075144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606139302361904,"score_gpt":0.2771143840837954,"score_spread":0.2610529910601763,"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."}}