{"id":"W2003454829","doi":"10.1109/ccece.2013.6567826","title":"Multilevel label placement for execution trace events","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRACE (psycholinguistics); Computer science; Visualization; Graph; Data mining; Quality (philosophy); Theoretical computer science; Data visualization; Information retrieval; Machine learning","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":[0.001261952,0.001486324,0.001098786,0.003413575,0.001198665,0.002196315,0.001640504,0.00114898,0.004739753],"category_scores_gemma":[0.009457006,0.0005816704,0.0008017157,0.002204415,0.0008981875,0.002575191,0.002317999,0.00141811,0.00134525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137965,"about_ca_system_score_gemma":0.001329062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002719107,"about_ca_topic_score_gemma":0.004347036,"domain_scores_codex":[0.9981472,0.0003994447,0.0001150046,0.0004958995,0.0006403802,0.0002019908],"domain_scores_gemma":[0.9953362,0.002100685,0.0006926901,0.0008662028,0.0007591702,0.0002450327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006832939,0.0002725355,0.00484299,0.0004770974,0.00006763842,0.0003370941,0.001087426,0.1397994,0.04815055,0.02077492,0.006453355,0.7770538],"study_design_scores_gemma":[0.00004305659,0.0001175765,0.001143628,0.00005528428,0.00002479554,0.0001524911,0.0002704255,0.9147162,0.04266725,0.03296983,0.007793831,0.00004563191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01243168,0.00008068977,0.9832789,0.0000687024,0.00001948672,0.00006510825,0.0001320272,0.003440822,0.0004825412],"genre_scores_gemma":[0.1606482,0.00009100447,0.8365692,0.00004118438,0.00002292901,0.0001432655,0.0005846343,0.0006035407,0.001296006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004739753,"threshold_uncertainty_score":0.01585609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04828618361476973,"score_gpt":0.3278611412640152,"score_spread":0.2795749576492454,"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."}}