{"id":"W2469522053","doi":"10.1159/000446244","title":"Prognostic Value of ADAMTS Proteases and Their Substrates in Epithelial Ovarian Cancer","year":2016,"lang":"en","type":"article","venue":"Pathobiology","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; World Health Organization","keywords":"Versican; ADAMTS; Thrombospondin; Ovarian cancer; Immunohistochemistry; Proteases; Cancer research; Disintegrin; Metalloproteinase; Cancer; Biology; Proteoglycan; Medicine; Matrix metalloproteinase; Internal medicine; Immunology; Extracellular matrix; Enzyme; Biochemistry","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":[0.0002246137,0.0001377269,0.0001938884,0.00006310765,0.00002689278,0.00000471253,0.0001492628,0.0001626989,0.00003004491],"category_scores_gemma":[0.0001972816,0.00008139994,0.00003818032,0.00007300516,0.0002554789,0.000003511136,0.0001030943,0.00006301892,0.000001971221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001041338,"about_ca_system_score_gemma":0.000149772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003237347,"about_ca_topic_score_gemma":0.0004503639,"domain_scores_codex":[0.9989543,0.0001590847,0.0002009088,0.0003344435,0.00004348066,0.0003078074],"domain_scores_gemma":[0.9995622,0.00005301653,0.00006212538,0.0001973413,0.00006214331,0.00006315306],"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":[0.0001671958,0.00004709874,0.130771,0.00002391175,0.0000179236,0.000004754545,0.00003502116,0.000001562116,0.8469407,0.0002146304,0.00001416199,0.02176207],"study_design_scores_gemma":[0.00099292,0.0006020273,0.1460937,0.00007427808,0.000004843052,0.00002434693,0.00003587341,0.00002569962,0.8496627,0.0007183771,0.001605801,0.0001594472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970741,0.001402519,0.0003521752,0.000327395,0.0000512683,0.0004442141,0.0002478895,0.000005264473,0.00009512021],"genre_scores_gemma":[0.9986032,0.0007076583,0.0001981245,0.00003769939,0.00009387297,0.0002186744,0.00002026022,0.00001272482,0.0001078085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02160263,"threshold_uncertainty_score":0.3319393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237607069279508,"score_gpt":0.265588529060179,"score_spread":0.253212458367384,"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."}}