{"id":"W3212808084","doi":"10.1016/j.ygyno.2021.11.006","title":"Addition of an Fc-IgG induces receptor clustering and increases the in vitro efficacy and in vivo anti-tumor properties of the thrombospondin-1 type I repeats (3TSR) in a mouse model of advanced stage ovarian cancer","year":2021,"lang":"en","type":"article","venue":"Gynecologic Oncology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Cancer Research Society; Beth Israel Deaconess Medical Center; Terry Fox Research Institute; Eli Lilly and Company","keywords":"In vivo; In vitro; Cancer research; Receptor; Thrombospondin; Medicine; CD36; Pathology; Molecular biology; Biology; Internal medicine; Biochemistry; Metalloproteinase","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746433,0.0001063142,0.0003158603,0.00004810956,0.00002818232,0.000003566593,0.0001249761,0.000147405,0.00002811394],"category_scores_gemma":[0.0002737017,0.00006953631,0.00002870216,0.0001519349,0.0002234793,0.00001070288,0.0001906393,0.00008658565,4.198992e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004601787,"about_ca_system_score_gemma":0.0002979484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003616344,"about_ca_topic_score_gemma":0.004514193,"domain_scores_codex":[0.9989585,0.0002551823,0.0003188803,0.0002565313,0.00006004313,0.000150826],"domain_scores_gemma":[0.9994329,0.00006451683,0.0002031723,0.0002046034,0.00007388552,0.00002091549],"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":[0.0006348049,0.000246337,0.006077104,0.00005677938,0.00001775324,0.000002253139,0.0002740231,0.003028639,0.9877089,0.00001032446,0.000008219109,0.00193488],"study_design_scores_gemma":[0.001181397,0.000464992,0.04442867,0.00005432805,0.00001277238,0.000003321754,0.0008650681,0.0008435418,0.9518853,0.00001483264,0.0001531128,0.00009265908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977196,0.001646008,0.000003091048,0.0001140067,0.00005998994,0.0002808738,0.0001208915,0.000002022,0.00005348189],"genre_scores_gemma":[0.9979988,0.001342225,0.0003700863,0.0001362674,0.00001632664,0.00005516556,0.00001253687,0.000008792017,0.00005984825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03835156,"threshold_uncertainty_score":0.2835608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821944499446629,"score_gpt":0.2861337374454324,"score_spread":0.2579142924509661,"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."}}