{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000131543,0.0001640819,0.0003627061,0.000267562,0.000106322,0.000008866513,0.0001527498,0.0002265392,0.6953406],"category_scores_gemma":[0.001082191,0.0001505821,0.0001215314,0.0004861759,0.00008199829,0.00006745935,0.00004514751,0.00005700067,0.000008814282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007909467,"about_ca_system_score_gemma":0.0009625507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006161237,"about_ca_topic_score_gemma":0.0003904516,"domain_scores_codex":[0.9983022,0.0002191629,0.0004916448,0.0002919474,0.0005579306,0.0001370892],"domain_scores_gemma":[0.9979406,0.0005418079,0.0009631223,0.0001177326,0.0003321083,0.0001046315],"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":[0.0006987384,0.0001503706,0.00003547575,0.000149383,0.0005572334,2.173628e-7,0.001512573,0.000002326358,0.0005214697,0.000002819771,0.9937532,0.002616199],"study_design_scores_gemma":[0.0007494447,0.0001477904,0.03501628,0.002001215,0.00006349315,6.584152e-8,0.0002676054,0.00001782022,0.009560427,0.0000121797,0.9519219,0.000241721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003354908,0.0002648359,0.000008221843,0.0000915042,0.00008053013,0.000589415,0.9982654,0.0000184312,0.0003462104],"genre_scores_gemma":[0.02612824,0.000007282191,0.001395971,0.00004414764,0.0003669542,0.001375439,0.9509018,0.0000892835,0.01969085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6953318,"threshold_uncertainty_score":0.6140559,"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."}}