{"id":"W6939620250","doi":"10.6084/m9.figshare.13265991","title":"Additional file 5 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":"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":"Olaparib; Serous ovarian cancer; Ovarian cancer; Western blot; Serous fluid; Poly ADP ribose polymerase; Blot; Polymerase","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":[0.00338387,0.001319503,0.00167533,0.001917939,0.0009557619,0.002473775,0.00212573,0.001658483,0.8639166],"category_scores_gemma":[0.03444768,0.0008627019,0.001207514,0.002403356,0.0003939115,0.001802157,0.00135954,0.001000495,0.2080986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108131,"about_ca_system_score_gemma":0.002502696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991088,"about_ca_topic_score_gemma":0.01466706,"domain_scores_codex":[0.9988542,0.0001910573,0.0002098957,0.0002320103,0.0003722032,0.0001406789],"domain_scores_gemma":[0.9819412,0.01358201,0.0008944589,0.001061985,0.002028042,0.0004923308],"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":[0.001023247,0.0001821655,0.003072052,0.005271948,0.00008426361,0.0001537142,0.0001007693,0.0007344205,0.0005405012,0.001041174,0.9702533,0.01754261],"study_design_scores_gemma":[0.007393862,0.000618447,0.02354892,0.004886954,0.0003262646,0.0007148799,0.000354317,0.003099936,0.003028218,0.01193266,0.9438609,0.0002347425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001936858,0.00003493314,0.0006022449,0.0001233031,0.00003461161,0.0001313696,0.9971469,0.0006681623,0.001064924],"genre_scores_gemma":[0.007267476,0.0002148977,0.007003656,0.0006310429,0.00009332457,0.002548071,0.9704804,0.001527053,0.01023407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8639166,"threshold_uncertainty_score":0.1941063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785004648189302,"score_gpt":0.2139887200119066,"score_spread":0.1961386735300136,"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."}}