{"id":"W6940143922","doi":"10.6084/m9.figshare.c.7061085","title":"Impact of individual level uncertainty of lung cancer polygenic risk score (PRS) on risk stratification","year":2024,"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":"University of Toronto; University of British Columbia","funders":"","keywords":"Decile; Lung cancer; Percentile; Confidence interval; Population; Relative risk; Polygenic risk score; Risk assessment","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":[],"consensus_categories":[],"category_scores_codex":[0.05356399,0.0007868032,0.001367883,0.001843247,0.0005801934,0.002281536,0.001034002,0.000945578,0.001022195],"category_scores_gemma":[0.1455177,0.0003527181,0.001389114,0.001478363,0.001812549,0.001127342,0.002048725,0.001673273,0.0001709564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004770631,"about_ca_system_score_gemma":0.0005691004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890035,"about_ca_topic_score_gemma":0.00180965,"domain_scores_codex":[0.9476353,0.04055358,0.002065645,0.005658729,0.003174114,0.0009126272],"domain_scores_gemma":[0.7247173,0.2418525,0.008947599,0.01942508,0.003678712,0.001378876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001522971,0.00004474292,0.9044901,0.0001811163,0.003719936,0.0003158761,0.0005032578,0.02949569,0.001968981,0.003436034,0.0005579816,0.05376343],"study_design_scores_gemma":[0.0001190722,0.000779187,0.7105796,0.0001845868,0.002045428,0.001330874,0.0004974233,0.246623,0.005205368,0.03074524,0.00167615,0.0002140626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9087307,0.002657065,0.08449244,0.000659406,0.0000944098,0.00005674425,0.0007686798,0.0002339365,0.002306576],"genre_scores_gemma":[0.9962985,0.00006530774,0.003306106,0.00005244628,0.0000219956,0.00001049329,0.0001827241,0.00001466508,0.00004790546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05356399,"threshold_uncertainty_score":0.2832768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0584809876365467,"score_gpt":0.2973395524121434,"score_spread":0.2388585647755967,"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."}}