{"id":"W6939832052","doi":"10.6084/m9.figshare.13265979","title":"Additional file 1 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":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec","funders":"","keywords":"Serous ovarian cancer; Immunohistochemistry; Antibody; Serous fluid; Ovarian cancer; Poly ADP ribose polymerase; Identification (biology); Olaparib; Real-time polymerase chain reaction","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":[0.00235601,0.0009556705,0.001139964,0.001713329,0.0007698316,0.001718003,0.001713903,0.001398897,0.8585604],"category_scores_gemma":[0.02917645,0.0005966088,0.0008542919,0.00200223,0.0002798852,0.001408424,0.00110623,0.0008195072,0.1867114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008235552,"about_ca_system_score_gemma":0.001685312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893258,"about_ca_topic_score_gemma":0.009521074,"domain_scores_codex":[0.9992872,0.0001312917,0.0001237089,0.0001658869,0.0002107987,0.00008120923],"domain_scores_gemma":[0.9819402,0.01429697,0.0007792815,0.0009015611,0.001705969,0.0003760261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005738806,0.0001338066,0.002866084,0.003245655,0.00006102935,0.0001166198,0.00007256516,0.0006119396,0.0003092405,0.0008039101,0.9755144,0.01569086],"study_design_scores_gemma":[0.005945202,0.0005600241,0.0295977,0.004659939,0.0003375535,0.001011307,0.0004311634,0.003213526,0.002387587,0.01274379,0.9389182,0.0001939973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002404441,0.00003835763,0.0005764088,0.0001241456,0.00002801416,0.00009710318,0.9975666,0.0003924493,0.000936502],"genre_scores_gemma":[0.0097435,0.0002591996,0.005623788,0.000655473,0.0001008101,0.002554491,0.9702622,0.001038091,0.009762404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8585604,"threshold_uncertainty_score":0.2017463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329681615777624,"score_gpt":0.2155560181241995,"score_spread":0.1922592019664232,"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."}}