{"id":"W4401210186","doi":"10.3390/app14156731","title":"A Model of Information Visualization Interpretation","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Bar chart; Computer science; Parametric statistics; Landmark; Eye tracking; Data visualization; Point cloud; Algorithm; Data mining; Artificial intelligence; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004846858,0.0008818489,0.0008088609,0.002775614,0.001214486,0.005932163,0.002865205,0.002749985,0.008185811],"category_scores_gemma":[0.02476996,0.0007414921,0.00197425,0.001906205,0.005015836,0.008985157,0.00272824,0.002491987,0.001758138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003322709,"about_ca_system_score_gemma":0.001913394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633954,"about_ca_topic_score_gemma":0.001583634,"domain_scores_codex":[0.9949758,0.002020828,0.0002444629,0.001183336,0.001305638,0.0002698786],"domain_scores_gemma":[0.9824091,0.01229603,0.001254226,0.001910181,0.001772596,0.0003577356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004102508,0.00002114983,0.0003900047,0.00008660553,0.00002978684,0.0001744625,0.0008260295,0.04857117,0.00133239,0.9320156,0.001422211,0.01508966],"study_design_scores_gemma":[0.00002419902,0.00004146186,0.0002467364,0.00003493757,0.00001641927,0.0001773777,0.0000831244,0.3116372,0.0004972001,0.6808581,0.006356979,0.00002632786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009721392,0.0003715966,0.9730979,0.002422472,0.00006043916,0.00006442428,0.0001683518,0.0003572724,0.01373619],"genre_scores_gemma":[0.552365,0.001018093,0.4238867,0.0006070781,0.0003499222,0.0005931288,0.0004086281,0.0004199849,0.02035145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008185811,"threshold_uncertainty_score":0.02738422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113679709631977,"score_gpt":0.327756546560736,"score_spread":0.3066197494644162,"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."}}