{"id":"W2019617939","doi":"10.1145/1569901.1569908","title":"VISPLORE","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Visualization; Particle swarm optimization; Data visualization; Data exploration; Human–computer interaction; Range (aeronautics); Population; Interactive visual analysis; Interactive visualization; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.00002740469,0.00002067416,0.00002192236,0.00002041269,0.00001824561,0.00006863122,0.0002441906,0.000006931034,0.00004247625],"category_scores_gemma":[0.000005792361,0.00001620745,0.000009528818,0.0001417597,0.000002589383,0.0001959174,0.00002141482,0.00001117802,0.0001805648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002233036,"about_ca_system_score_gemma":0.000007479177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.129774e-7,"about_ca_topic_score_gemma":2.993609e-7,"domain_scores_codex":[0.9997793,0.000003426268,0.00003881592,0.00006814863,0.00005996425,0.00005027348],"domain_scores_gemma":[0.9997917,0.000002833504,0.00000708974,0.0001579512,0.00001358921,0.00002680192],"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":[8.402459e-8,0.0000112264,0.0000177028,1.453937e-7,3.757388e-7,0.000001076929,0.00002918967,0.0000030568,0.00003042092,0.9609558,0.01274168,0.02620922],"study_design_scores_gemma":[0.0002778772,0.0001547967,0.00440445,0.000004944958,0.000001940525,0.000008203769,0.00002422301,0.6736238,0.002455529,0.06324017,0.255589,0.0002150948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001449072,0.000003962438,0.9466435,0.002027706,0.00002886821,0.00000836657,1.296513e-7,0.0001293021,0.05101329],"genre_scores_gemma":[0.9346499,0.000006956214,0.0486712,0.01219321,0.00002860457,1.611575e-7,0.000003492583,0.00000110362,0.004445325],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.934505,"threshold_uncertainty_score":0.2320855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198671893398045,"score_gpt":0.3068461844839032,"score_spread":0.2848594655499228,"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."}}