{"id":"W2006552151","doi":"10.1109/vissof.2007.4290705","title":"Visualization Patterns: A Context-Sensitive Tool to Evaluate Visualization Techniques","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Visualization; Computer science; Context (archaeology); Software visualization; Data visualization; Software; Information visualization; Human–computer interaction; Visual analytics; Creative visualization; Representation (politics); Data science; Data mining; Software system; Programming language; Component-based software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01731705,0.002680968,0.001626733,0.01082869,0.00117374,0.005176163,0.00184857,0.002856578,0.006950434],"category_scores_gemma":[0.09845965,0.001012953,0.001255232,0.005268116,0.0009871057,0.007898379,0.003507273,0.002315891,0.001534379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738321,"about_ca_system_score_gemma":0.001103191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009852017,"about_ca_topic_score_gemma":0.001347042,"domain_scores_codex":[0.9849573,0.007464277,0.002733608,0.0008609966,0.003593111,0.0003906135],"domain_scores_gemma":[0.8721762,0.09575555,0.007818135,0.01103744,0.01147238,0.001740301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005957557,0.002613871,0.05235099,0.004685604,0.001147856,0.00124716,0.0146813,0.01369527,0.05659479,0.03339158,0.05927293,0.754361],"study_design_scores_gemma":[0.003104006,0.009711986,0.09807835,0.002962863,0.001782893,0.003757934,0.01281136,0.4493644,0.1391786,0.1065573,0.1709405,0.001750003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.156895,0.0007308898,0.7568583,0.001607156,0.0004030823,0.004751503,0.008333797,0.05621378,0.01420654],"genre_scores_gemma":[0.2588281,0.0002695487,0.7290798,0.0002547642,0.00009998445,0.003733624,0.002993752,0.002612683,0.00212782],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01731705,"threshold_uncertainty_score":0.09158242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513336483482692,"score_gpt":0.3548940557982456,"score_spread":0.3297606909634187,"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."}}