{"id":"W6958252366","doi":"10.6084/m9.figshare.13265985.v1","title":"Additional file 3 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":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec","funders":"","keywords":"Olaparib; Ovarian cancer; Serous fluid; Serous ovarian cancer; Synthetic lethality; Identification (biology)","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":[0.003935168,0.001261973,0.00152007,0.002177243,0.001197787,0.002740192,0.002123005,0.001654908,0.9001731],"category_scores_gemma":[0.04215235,0.0008569178,0.001313881,0.002914625,0.0004586159,0.00204797,0.00160136,0.001086539,0.2786811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320505,"about_ca_system_score_gemma":0.002793185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006300936,"about_ca_topic_score_gemma":0.0134491,"domain_scores_codex":[0.9986386,0.0002422932,0.0002528284,0.0002600915,0.0004089282,0.0001972105],"domain_scores_gemma":[0.9742288,0.01892988,0.001155138,0.001545017,0.003432529,0.0007086492],"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":[0.0007670774,0.0001212493,0.00169321,0.002844432,0.00004170601,0.0000936815,0.00006760328,0.0003495905,0.0002672344,0.0008357394,0.981701,0.01121749],"study_design_scores_gemma":[0.006760657,0.0004877896,0.01790888,0.003779494,0.0001858517,0.0004333884,0.0003973198,0.002048529,0.002033174,0.01096921,0.9548004,0.0001953643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001772924,0.00002018092,0.0004163584,0.0001605731,0.00004817571,0.0001751112,0.9969388,0.0005776816,0.001485832],"genre_scores_gemma":[0.006659915,0.0001633543,0.006431381,0.0008991283,0.0001297738,0.003155748,0.964711,0.001873884,0.0159757],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9001731,"threshold_uncertainty_score":0.1423909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192097102010864,"score_gpt":0.2498756987579992,"score_spread":0.2306659885569128,"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."}}