{"id":"W1993415883","doi":"10.1145/1809400.1809407","title":"FpVAT","year":2010,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Process (computing); Knowledge extraction; Representation (politics); Data mining; Simple (philosophy); Visualization; Information retrieval; Visual analytics; Machine learning; Artificial intelligence","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":[0.001796819,0.001488022,0.00084176,0.0026379,0.0009174957,0.004232883,0.003864375,0.00180378,0.07432938],"category_scores_gemma":[0.01180415,0.0008645819,0.001927128,0.002036151,0.0006863873,0.005178381,0.003895302,0.002279335,0.04115142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818714,"about_ca_system_score_gemma":0.001272172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652686,"about_ca_topic_score_gemma":0.001966863,"domain_scores_codex":[0.9982285,0.0002658416,0.0001456486,0.0003589769,0.0007840805,0.0002170149],"domain_scores_gemma":[0.9967331,0.001200014,0.0001631766,0.000835768,0.0008630971,0.0002049071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000739422,0.0001344196,0.001715311,0.0007669899,0.0001051411,0.0006059158,0.0005423429,0.004749477,0.005261746,0.04161418,0.4569957,0.4867694],"study_design_scores_gemma":[0.0002057069,0.0001408419,0.001060646,0.000259526,0.00006447329,0.00168928,0.0001557069,0.05405937,0.01161866,0.07385423,0.8567603,0.0001312288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005421641,0.001057066,0.626004,0.001216864,0.001025812,0.0005327042,0.01721902,0.2744164,0.07310648],"genre_scores_gemma":[0.1067368,0.001825817,0.7053497,0.001599934,0.0004968328,0.002032246,0.06073688,0.05176189,0.06945979],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07432938,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376557419937707,"score_gpt":0.2960755426787169,"score_spread":0.2623099684793399,"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."}}