{"id":"W4406734073","doi":"10.1051/itmconf/20257003003","title":"Data Visualization and Prediction Model Analysis","year":2025,"lang":"en","type":"article","venue":"ITM Web of Conferences","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Visualization; Computer science; Data science; 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":[0.009974977,0.002137826,0.0012389,0.006240482,0.001022422,0.006312818,0.001879184,0.001339192,0.01417808],"category_scores_gemma":[0.04963936,0.0007127675,0.001908152,0.006857774,0.0008527795,0.005407564,0.002655534,0.002592399,0.002844833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167769,"about_ca_system_score_gemma":0.002516329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00568013,"about_ca_topic_score_gemma":0.002906113,"domain_scores_codex":[0.9930697,0.00357073,0.0005099837,0.000861797,0.001730266,0.0002574328],"domain_scores_gemma":[0.9782217,0.0137438,0.001477459,0.00251851,0.00372997,0.0003085425],"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":[0.0005923799,0.0005066097,0.02565162,0.00270816,0.0006812369,0.0007761673,0.003078815,0.1267378,0.007852621,0.186283,0.1188638,0.5262678],"study_design_scores_gemma":[0.00009114343,0.0001527269,0.00600692,0.0005926688,0.0001466486,0.0004119365,0.001267817,0.7356405,0.012305,0.1421086,0.1010775,0.000198592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01860588,0.00136194,0.9335254,0.004363731,0.0004740263,0.0005284449,0.01003209,0.01942242,0.01168608],"genre_scores_gemma":[0.2622577,0.001866726,0.7167565,0.0004849992,0.0002656992,0.00137024,0.01016696,0.002084637,0.004746458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01417808,"threshold_uncertainty_score":0.05275333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05824450857557954,"score_gpt":0.3522813094662638,"score_spread":0.2940368008906843,"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."}}