{"id":"W1973227779","doi":"10.1145/1518701.1518740","title":"Friend or foe?","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Formality; Computer science; Workflow; Transparency (behavior); Domain (mathematical analysis); Management science; Data science; Mathematics","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":[0.00004207145,0.00003005829,0.00003381131,0.00002678517,0.00002807562,0.0001029195,0.0003089687,0.00001051043,0.0002007248],"category_scores_gemma":[0.00001682843,0.00001996628,0.00001104525,0.0002142132,0.000004315527,0.0002549043,0.00003380245,0.00001502988,0.000184421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003380617,"about_ca_system_score_gemma":0.00001709761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001217027,"about_ca_topic_score_gemma":0.000002390477,"domain_scores_codex":[0.999685,0.000005551317,0.00005925573,0.00009530868,0.00008177594,0.00007308956],"domain_scores_gemma":[0.9997185,0.000007671639,0.00001149614,0.0002048689,0.00001798342,0.00003943755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.486416e-7,0.00002471542,0.00001803818,4.227501e-7,9.160597e-7,0.000004721554,0.00006059178,0.000003598228,0.00003308851,0.9219674,0.0431234,0.03476264],"study_design_scores_gemma":[0.0003103793,0.0001655505,0.001265458,0.000005661941,0.000002517699,0.0000139889,0.00004100749,0.3262755,0.002143159,0.01664472,0.6529272,0.0002048751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001087454,0.000003922006,0.9442472,0.001882484,0.00004807469,0.00001454483,4.428153e-7,0.000123346,0.05357124],"genre_scores_gemma":[0.7504392,0.00002402622,0.1656889,0.02133618,0.00009494691,7.188198e-7,0.000009960994,0.000003999127,0.06240211],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9053227,"threshold_uncertainty_score":0.237042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211408224473263,"score_gpt":0.3261412098639601,"score_spread":0.2940271276192275,"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."}}