{"id":"W4409685445","doi":"10.3390/mti9050037","title":"VICTORIOUS: A Visual Analytics System for Scoping Review of Document Sets","year":2025,"lang":"en","type":"article","venue":"Multimodal Technologies and Interaction","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual analytics; Analytics; Computer science; Data science; Information retrieval; Visualization; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001729122,0.00008813672,0.0002074035,0.0001793682,0.00006578627,0.00007156275,0.0002505166,0.00006204817,0.000001406648],"category_scores_gemma":[0.000238136,0.00007536327,0.00004917944,0.0003377306,0.00002859766,0.0003036537,0.0002198377,0.0000617242,0.000001097514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006619104,"about_ca_system_score_gemma":0.00003270463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015963,"about_ca_topic_score_gemma":0.000005967693,"domain_scores_codex":[0.9992577,0.00001534592,0.0003248002,0.000210164,0.00008732022,0.0001046809],"domain_scores_gemma":[0.9993718,0.00007901236,0.000163846,0.0002324172,0.0001407058,0.00001223723],"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":[0.00003177654,0.0001740901,0.0005901417,0.05862378,0.000166339,0.000002640906,0.0001116882,0.0001057418,0.001479614,0.162904,0.002977675,0.7728325],"study_design_scores_gemma":[0.0006739006,0.0002723146,0.00007145236,0.1080128,0.00007124358,0.000007910363,0.001349431,0.852336,0.02918243,0.0007490122,0.007005541,0.0002679413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0014999,0.003628443,0.9915316,0.00141654,0.0004840438,0.0006488534,0.000007608247,0.000508423,0.0002746312],"genre_scores_gemma":[0.9592048,0.01103284,0.02921333,0.0003162472,0.00001339518,0.00008634174,0.00002745662,0.000007336455,0.0000982501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9623182,"threshold_uncertainty_score":0.3073225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290231419362321,"score_gpt":0.3757031390467271,"score_spread":0.3528008248531039,"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."}}