{"id":"W2161243549","doi":"10.1057/ivs.2009.28","title":"Science of Analytical Reasoning","year":2009,"lang":"en","type":"article","venue":"Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"U.S. Department of Homeland Security","keywords":"Visual analytics; Cultural analytics; Computer science; Analytics; Data science; Visual reasoning; Field (mathematics); Analytic reasoning; Visualization; Work (physics); Software analytics; Management science; Artificial intelligence; Semantic analytics; World Wide Web; Reasoning system; Software; The Internet","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":[0.02295404,0.001444436,0.002057334,0.006856436,0.004609244,0.01835196,0.003674773,0.004807026,0.008150838],"category_scores_gemma":[0.03560873,0.0008809625,0.002668968,0.003631784,0.04494206,0.01904777,0.006440186,0.007961935,0.002731986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008383743,"about_ca_system_score_gemma":0.007807377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00516516,"about_ca_topic_score_gemma":0.001727672,"domain_scores_codex":[0.9748749,0.01313993,0.001811182,0.00361157,0.005744897,0.0008175123],"domain_scores_gemma":[0.9589735,0.02769372,0.001876912,0.00639201,0.004190903,0.0008729824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007047938,0.000008882535,0.0001048821,0.0001522657,0.00001796705,0.0000232369,0.0005497317,0.0006325171,0.00004900826,0.9891403,0.003064241,0.006249996],"study_design_scores_gemma":[0.000005338473,0.000003558571,0.00003983247,0.00009915468,0.000004234856,0.00002759764,0.0001442717,0.0009062313,0.0000605112,0.9749056,0.02379678,0.000006993787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006338436,0.02867805,0.6101198,0.08360077,0.002597823,0.0003385966,0.0007826763,0.000760667,0.2667832],"genre_scores_gemma":[0.4673794,0.02856056,0.4517377,0.01525616,0.005887796,0.001436126,0.001300571,0.0005541497,0.02788758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02295404,"threshold_uncertainty_score":0.121394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629543798831826,"score_gpt":0.3291814958506741,"score_spread":0.3128860578623559,"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."}}