{"id":"W6958478425","doi":"10.6084/m9.figshare.13265976.v1","title":"Additional file 10 of Development of a 3D functional assay and identification of biomarkers, predictive for response of high-grade serous ovarian cancer (HGSOC) patients to poly-ADP ribose polymerase inhibitors (PARPis): targeted therapy","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Alexander von Humboldt Studies","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec","funders":"","keywords":"Serous ovarian cancer; Identification (biology); Ovarian cancer; Polymerase; Serous fluid; Cancer","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003285363,0.001409144,0.001739188,0.002285691,0.001076617,0.002586093,0.002375188,0.001964318,0.8838691],"category_scores_gemma":[0.03362828,0.0009605098,0.001233075,0.003154999,0.0004070707,0.001995736,0.001428714,0.001216196,0.2603687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221195,"about_ca_system_score_gemma":0.002217731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006351633,"about_ca_topic_score_gemma":0.01128666,"domain_scores_codex":[0.998877,0.000211767,0.0001735885,0.0002659149,0.0003193989,0.000152348],"domain_scores_gemma":[0.9786587,0.01599818,0.000906837,0.001436735,0.002491846,0.0005077239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004066405,0.00007335514,0.001035332,0.002087778,0.00003618127,0.0000512546,0.00003489305,0.0003043117,0.0001447586,0.0005980466,0.9889313,0.006296127],"study_design_scores_gemma":[0.007058884,0.0003292127,0.02109425,0.003836467,0.0002499939,0.0003681147,0.0003178399,0.001539045,0.001565603,0.0138505,0.9495934,0.0001967494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00008828191,0.00002159552,0.0002781563,0.0001233559,0.00003387471,0.00007412992,0.9981212,0.0003671547,0.0008922282],"genre_scores_gemma":[0.00558585,0.000188353,0.004070763,0.0008285335,0.0001341593,0.002258219,0.9740216,0.001753549,0.01115899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8838691,"threshold_uncertainty_score":0.1656466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298633939786497,"score_gpt":0.2388754437837726,"score_spread":0.2158891043859076,"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."}}