{"id":"W4389959486","doi":"10.2196/53627","title":"Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review","year":2023,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Visualization; Medicine; Medical physics; Computer science; Oncology; Alternative medicine; Data mining; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1340699,0.004225357,0.007135218,0.01665509,0.00451769,0.007675885,0.005289612,0.008088006,0.1136316],"category_scores_gemma":[0.1775827,0.004483659,0.010777,0.01511454,0.004420342,0.007833502,0.007919087,0.006377594,0.02405081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01299972,"about_ca_system_score_gemma":0.06959622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003825748,"about_ca_topic_score_gemma":0.006721388,"domain_scores_codex":[0.927618,0.03503872,0.0241713,0.003542429,0.007019028,0.002610564],"domain_scores_gemma":[0.8607928,0.05580749,0.02044618,0.0144533,0.04438926,0.004111044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008508363,0.0008944563,0.001243565,0.5823607,0.001225721,0.001353826,0.008052127,0.003156306,0.004852398,0.01840111,0.2287394,0.141212],"study_design_scores_gemma":[0.01277634,0.001801156,0.004129301,0.3038873,0.001498346,0.0006710707,0.004778418,0.001392289,0.003222971,0.01733967,0.6479881,0.0005150314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002637482,0.0005230919,0.002654941,0.0006745773,0.0003742412,0.9889213,0.005288973,0.0001262167,0.00117286],"genre_scores_gemma":[0.0001671273,0.0003823458,0.004821912,0.0001743963,0.00002510116,0.9934266,0.0006327753,0.000009657333,0.0003600617],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1340699,"threshold_uncertainty_score":0.7090377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.877370669870584,"score_gpt":0.7828342816130393,"score_spread":0.09453638825754473,"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."}}