{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001290463,0.0001112552,0.00009055741,0.000131184,0.0001761132,0.0003949959,0.001330981,0.00005821497,0.0002497289],"category_scores_gemma":[0.0002528138,0.0001025777,0.00004687771,0.0004979389,0.00004457647,0.001493659,0.0003539959,0.000192637,0.001691322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000759566,"about_ca_system_score_gemma":0.00004111803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005639026,"about_ca_topic_score_gemma":0.0000359033,"domain_scores_codex":[0.9990789,0.00002889149,0.0002042153,0.0002830449,0.0002083378,0.0001966588],"domain_scores_gemma":[0.9981973,0.00007614224,0.00005660593,0.00148216,0.00009410874,0.00009364242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[9.040673e-7,0.0000997407,0.0008720043,0.00000408263,0.00001583574,0.00001236544,0.0007884739,0.00003808741,0.03705276,0.3988489,0.5530311,0.009235666],"study_design_scores_gemma":[0.0003062673,0.00002716609,0.0005831405,0.000004921413,0.000008884928,0.00001350413,0.00004168684,0.01972173,0.01044563,0.0141991,0.9543052,0.0003427349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008213704,0.00000556226,0.9294605,0.05797812,0.0009444174,0.0001073558,0.000006484903,0.0003552847,0.002928566],"genre_scores_gemma":[0.6315231,0.0000184716,0.2953888,0.06708454,0.001089169,0.00008303439,0.0002087067,0.00004150371,0.004562652],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6340716,"threshold_uncertainty_score":0.999086,"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."}}