{"id":"W4254983785","doi":"10.1109/tsmcb.2008.925728","title":"A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Context (archaeology); Perspective (graphical); Process (computing); Exploit; Consistency (knowledge bases); Heuristics; Focus (optics); Function (biology); Fuzzy logic; Cluster analysis; Data science; Human–computer interaction; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005468306,0.0004602501,0.0006594319,0.0007679508,0.0004271168,0.0004332577,0.001474632,0.0001174147,0.00004233884],"category_scores_gemma":[0.00001200271,0.0004506848,0.0001018897,0.002280417,0.0002115515,0.0004877058,0.0001203127,0.0003287718,0.0001617728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002679312,"about_ca_system_score_gemma":0.00007810198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430205,"about_ca_topic_score_gemma":0.003447283,"domain_scores_codex":[0.9960063,0.0004222779,0.0007598077,0.001505701,0.0007739025,0.0005320304],"domain_scores_gemma":[0.9970745,0.0001383228,0.0002321208,0.002085461,0.0002146682,0.0002549425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001329371,0.04059661,0.06540301,0.0005385606,0.03028068,0.00561857,0.3986994,0.3525167,0.0003287476,0.01818436,0.03489013,0.05161386],"study_design_scores_gemma":[0.004421034,0.001352331,0.02039085,0.0001604546,0.001144195,0.00006006195,0.01646483,0.9387856,0.0004386956,0.0001035795,0.01503497,0.001643425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3395443,0.001175709,0.6481657,0.000350475,0.001872481,0.004073498,0.0006017397,0.0003773199,0.003838738],"genre_scores_gemma":[0.9916257,0.000669199,0.001112913,0.00006912792,0.00004977544,0.0001452905,0.00003894966,0.00002997751,0.006259078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6520814,"threshold_uncertainty_score":0.9997945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06271541074539363,"score_gpt":0.2996248071080724,"score_spread":0.2369093963626788,"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."}}