{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002963053,0.0005556995,0.0004339919,0.001205439,0.005686969,0.005523947,0.0009354526,0.002636187,0.09620611],"category_scores_gemma":[0.02024106,0.0002871836,0.0005440091,0.0007945101,0.003556704,0.007528324,0.003068277,0.002755661,0.03585342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136703,"about_ca_system_score_gemma":0.001016611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003212709,"about_ca_topic_score_gemma":0.005240343,"domain_scores_codex":[0.9966868,0.001764004,0.00009053859,0.0005680958,0.0005643013,0.0003263608],"domain_scores_gemma":[0.9951858,0.001949999,0.0005520126,0.0005140122,0.0008877041,0.0009104349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001605655,0.00008119678,0.01019129,0.0003055723,0.00008440029,0.002819888,0.0608206,0.000194162,0.001319988,0.1633477,0.5825835,0.1780911],"study_design_scores_gemma":[0.000006940367,0.00002729283,0.001088223,0.000143458,0.00001798231,0.002509155,0.01652558,0.0002717034,0.0003616145,0.02446793,0.9545425,0.00003767029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04831112,0.009653031,0.0347251,0.2120158,0.009867754,0.0001206194,0.001147586,0.001868508,0.6822905],"genre_scores_gemma":[0.4830852,0.005570878,0.01968779,0.03654821,0.002327133,0.0001016429,0.0009014465,0.0008276577,0.45095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09620611,"threshold_uncertainty_score":0.3218415,"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."}}