{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000508094,0.00007010726,0.00009577009,0.000666654,0.000118314,0.0002606183,0.0005193594,0.00003176164,0.00001601882],"category_scores_gemma":[0.0003690578,0.00006771761,0.00002649424,0.002781917,0.00006920163,0.005952098,0.00006323551,0.00003260243,0.00004410024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391066,"about_ca_system_score_gemma":0.0001916904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001933754,"about_ca_topic_score_gemma":9.478392e-8,"domain_scores_codex":[0.9987883,0.00001802018,0.0004086915,0.0001057212,0.0005330034,0.0001462422],"domain_scores_gemma":[0.9988954,0.00001363905,0.0002234775,0.000291726,0.0005018241,0.00007392155],"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":[0.00000120023,0.0000230914,0.00009573467,0.000005163841,0.00000130362,8.9854e-8,0.0004646845,0.0005290031,0.0001410677,0.9881259,0.0005360199,0.01007678],"study_design_scores_gemma":[0.0001715258,0.00008604386,0.00281929,0.00002077155,0.000003503762,0.000003065768,0.00005246732,0.9863772,0.003390052,0.001697821,0.005283682,0.00009453671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0035173,0.000004061666,0.9790822,0.0001661755,0.00008138429,0.00006634629,0.000002195938,0.0001224046,0.01695793],"genre_scores_gemma":[0.9911094,0.000009583031,0.007938713,0.000817946,0.00001480186,5.746852e-7,0.00005020788,0.000001594238,0.00005723171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.987592,"threshold_uncertainty_score":0.4315127,"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."}}