{"id":"W3196599735","doi":"10.1200/cci.21.00050","title":"Interactive Data Visualization Tool for Patient-Centered Decision Making in Kidney Cancer","year":2021,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"William Osler Health System; University of Calgary","funders":"","keywords":"Usability; Visualization; Medicine; Interactive visualization; Kidney cancer; Computer science; Medical physics; Renal cell carcinoma; Oncology; Human–computer interaction; Data mining","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":[0.01140492,0.001801334,0.0009091205,0.003354828,0.0006634968,0.0036973,0.002243435,0.001383039,0.01686672],"category_scores_gemma":[0.05881646,0.0006609594,0.00133591,0.001761497,0.0006191741,0.002877601,0.004166135,0.001345303,0.002471674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000766601,"about_ca_system_score_gemma":0.001107372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009372029,"about_ca_topic_score_gemma":0.00128237,"domain_scores_codex":[0.9931173,0.004599804,0.0006159463,0.0005122101,0.0009431131,0.0002115605],"domain_scores_gemma":[0.9020941,0.08593405,0.003033381,0.003802442,0.00325126,0.001884689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004162979,0.0008223945,0.03224876,0.004634361,0.0003487061,0.002017841,0.0142126,0.006805602,0.009267896,0.004144063,0.1093693,0.8119655],"study_design_scores_gemma":[0.00434599,0.004331365,0.09078725,0.0114229,0.001236407,0.01514748,0.0113694,0.2014758,0.04030324,0.07119029,0.5467731,0.00161674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2611416,0.005851985,0.5764425,0.01368982,0.0009563722,0.002830734,0.01545186,0.1019937,0.02164147],"genre_scores_gemma":[0.3936999,0.001467844,0.5918946,0.001389787,0.000352814,0.002036591,0.004546764,0.002076458,0.002535215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01686672,"threshold_uncertainty_score":0.06031567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331235295341206,"score_gpt":0.4882935578949105,"score_spread":0.3551700283607899,"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."}}