{"id":"W4296260835","doi":"10.31219/osf.io/8r4ec","title":"Quantitative data visualization","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Categorical variable; Visualization; Computer science; Data visualization; Data presentation; Plot (graphics); Data science; Data mining; Key (lock); Information visualization; Ordinal data; Presentation (obstetrics); Statistics; Mathematics; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0007243046,0.0001554762,0.0002271846,0.0002162071,0.00009878706,0.0004383112,0.008395886,0.00005725188,0.000858045],"category_scores_gemma":[0.0001607742,0.0001480658,0.00004695332,0.0005226501,0.00002061185,0.0007587443,0.03586586,0.0002770641,0.0001588897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005849776,"about_ca_system_score_gemma":0.0002160002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003206808,"about_ca_topic_score_gemma":0.00008871928,"domain_scores_codex":[0.9977165,0.0002049133,0.0002792012,0.001110848,0.000537617,0.0001508517],"domain_scores_gemma":[0.994432,0.00009704331,0.0002199581,0.005126556,0.00007544565,0.00004899706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002144296,0.00007618264,0.0002338986,0.00003334833,0.0001428275,0.0000153606,0.0003538146,0.002354484,0.00001216258,0.8980622,0.0949268,0.003786751],"study_design_scores_gemma":[0.00004525334,0.00002197481,0.0002053682,0.000007801094,0.00002704262,9.708009e-7,0.00006077844,0.9490926,0.00001704576,0.007543565,0.04275829,0.0002193615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009747543,0.0001340843,0.9874497,0.0005939594,0.000631581,0.0001427584,0.0002138871,0.000280614,0.01045593],"genre_scores_gemma":[0.02219479,0.0001950888,0.9477473,0.001673542,0.0001129737,0.00008209369,0.02169248,0.00004163614,0.00626003],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9467381,"threshold_uncertainty_score":0.9969692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497779162091397,"score_gpt":0.4104031387490115,"score_spread":0.2606252225398718,"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."}}