{"id":"W6976928844","doi":"10.6084/m9.figshare.13265985","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":"Digital Economy and Work Transformation","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":[0.0001091658,0.0001401214,0.0002667995,0.000206863,0.00007019332,0.00001332118,0.0001178794,0.0001761044,0.5201194],"category_scores_gemma":[0.0007377165,0.0001477351,0.00007145861,0.0002822293,0.00005103117,0.0001618298,0.00002122211,0.00004503714,0.00001236245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007170423,"about_ca_system_score_gemma":0.0007668774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001896782,"about_ca_topic_score_gemma":0.0002251707,"domain_scores_codex":[0.9987372,0.00009642274,0.0005097961,0.0002068566,0.0003264034,0.0001233086],"domain_scores_gemma":[0.9983108,0.0005427034,0.0007679651,0.00008054353,0.0002177003,0.0000802924],"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":[0.0007659232,0.0001258473,0.00001571668,0.0001726502,0.0001975792,6.735556e-8,0.001648382,0.000001842478,0.00004498794,0.000007834854,0.9814637,0.01555545],"study_design_scores_gemma":[0.0007933573,0.0001712817,0.01470507,0.002448125,0.00001708611,5.389815e-8,0.0002877223,0.00001248968,0.004870681,0.00002340747,0.9764702,0.0002005612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001880624,0.0001168476,0.00002917334,0.00007334923,0.0000799484,0.0008670139,0.9963309,0.00001986326,0.002294913],"genre_scores_gemma":[0.02724121,0.000007249743,0.00116271,0.0000380402,0.0001480956,0.001527868,0.9657015,0.00005838122,0.004115004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.520107,"threshold_uncertainty_score":0.6024465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917270298073487,"score_gpt":0.2400378200551719,"score_spread":0.220865117074437,"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."}}