{"id":"W3203187103","doi":"10.11575/prism/39323","title":"Visualizations as Data Input?","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science","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":[0.01385715,0.001905977,0.0009933037,0.002550036,0.00291618,0.01821601,0.003129195,0.00428063,0.02138961],"category_scores_gemma":[0.06867279,0.001103675,0.001424606,0.003355639,0.01415345,0.03118674,0.00783841,0.007014658,0.003422262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0027649,"about_ca_system_score_gemma":0.001616515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023679,"about_ca_topic_score_gemma":0.001333477,"domain_scores_codex":[0.9859293,0.01031265,0.0004413822,0.00127828,0.001549606,0.000488787],"domain_scores_gemma":[0.9559488,0.03159457,0.001554,0.006808552,0.003426809,0.0006671784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005490123,0.00001900494,0.0004239185,0.0003790881,0.00001616228,0.0001731216,0.01140172,0.00102586,0.0006850378,0.9601932,0.008204641,0.01742336],"study_design_scores_gemma":[0.00004175857,0.00004861614,0.0002359964,0.0008564724,0.00002361128,0.0003826141,0.005355373,0.007126007,0.001920374,0.767871,0.2160854,0.00005278672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01305731,0.005180155,0.8231247,0.04990482,0.001976215,0.0002452393,0.001313207,0.003971168,0.1012271],"genre_scores_gemma":[0.5043824,0.007952069,0.4464401,0.007312905,0.001757135,0.001338936,0.002001023,0.00401776,0.02479773],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02138961,"threshold_uncertainty_score":0.07328451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717316452970262,"score_gpt":0.3045840056259825,"score_spread":0.2674108410962799,"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."}}