{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03489291,0.002113033,0.001715428,0.01969819,0.001794948,0.008191302,0.003409715,0.002132737,0.05877648],"category_scores_gemma":[0.09896134,0.001732797,0.002717538,0.00973701,0.001251782,0.01103215,0.01131889,0.002809754,0.01513373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00279773,"about_ca_system_score_gemma":0.006432447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158346,"about_ca_topic_score_gemma":0.004434786,"domain_scores_codex":[0.9893731,0.004978259,0.002176843,0.0012029,0.001957343,0.0003114003],"domain_scores_gemma":[0.9092019,0.06537133,0.006166269,0.009318423,0.008518302,0.001423782],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001151915,0.0002279415,0.00324929,0.01510067,0.0007289783,0.0008652416,0.01182349,0.003077954,0.006281139,0.05020782,0.4544078,0.4528778],"study_design_scores_gemma":[0.0008298866,0.0002586934,0.003708144,0.004407284,0.0003497709,0.0006523404,0.002305515,0.03569961,0.009785833,0.09664236,0.8449737,0.0003868171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004868066,0.002081741,0.5825432,0.004953344,0.0007239837,0.004095233,0.05400091,0.3191443,0.02758919],"genre_scores_gemma":[0.03188291,0.001563328,0.8950616,0.001476111,0.0003047756,0.00662079,0.03308495,0.02009486,0.009910702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9651071,"threshold_uncertainty_score":0.1966269,"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."}}