{"id":"W3005749067","doi":"10.5753/sibgrapi.est.2020.12991","title":"Preprocessing Profiling Model for Visual Analytics","year":2020,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Computer science; Preprocessor; Visual analytics; Visualization; Data pre-processing; Profiling (computer programming); Data visualization; Data science; Data mining; Raw data; Analytics; Process (computing); Scope (computer science); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009832024,0.00006923989,0.00008986682,0.0000299748,0.00007564765,0.0002253421,0.0003843739,0.00002446357,0.000004665578],"category_scores_gemma":[0.0001098973,0.00006174562,0.00003855246,0.0003022641,0.00001065335,0.0004388275,0.0001394681,0.00003371146,0.00001333362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007699507,"about_ca_system_score_gemma":0.00008790351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.31191e-7,"about_ca_topic_score_gemma":4.215385e-7,"domain_scores_codex":[0.9992822,0.000006012244,0.0001627093,0.0002753468,0.0001351775,0.0001385612],"domain_scores_gemma":[0.9995844,0.00002158538,0.00004802853,0.0001415656,0.000101796,0.0001026546],"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":[0.00001274449,0.0001343415,0.0006712025,0.00026386,0.00004092024,0.00000238772,0.001852994,0.159704,0.002806576,0.8062808,0.008652284,0.01957794],"study_design_scores_gemma":[0.0001380576,0.00002427754,0.000001619612,0.00000378704,0.000005667173,3.068414e-7,0.00003203838,0.9938754,0.00381859,0.001443491,0.0005647268,0.00009201995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002329708,0.00000835193,0.9969232,0.001387447,0.00002229232,0.00009234239,0.000003842991,0.0002117219,0.00111782],"genre_scores_gemma":[0.4880668,0.000002892064,0.5055281,0.005519435,0.00006804539,0.000005142708,0.00002107396,0.000009209378,0.0007792783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8341715,"threshold_uncertainty_score":0.2517914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09200503410435676,"score_gpt":0.3606945119934958,"score_spread":0.268689477889139,"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."}}