{"id":"W2155733062","doi":"10.1145/1168149.1168162","title":"Heuristics for information visualization evaluation","year":2006,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Heuristics; Computer science; Generalizability theory; Visualization; Heuristic; Categorization; Data visualization; Information visualization; Data science; Process (computing); Heuristic evaluation; Machine learning; Data mining; Artificial intelligence; Information retrieval; Human–computer interaction; Psychology","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":[0.07981829,0.002582415,0.001954213,0.01710101,0.001949499,0.009023549,0.003638065,0.001886115,0.005778112],"category_scores_gemma":[0.2532176,0.001408043,0.003706304,0.01266845,0.002874032,0.007558975,0.003343501,0.002901881,0.0009333769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007598664,"about_ca_system_score_gemma":0.006470622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003464131,"about_ca_topic_score_gemma":0.004727804,"domain_scores_codex":[0.9013202,0.07441982,0.009227923,0.003290984,0.01062981,0.001111321],"domain_scores_gemma":[0.6929695,0.2405597,0.01129953,0.02347262,0.03018635,0.001512312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008615651,0.0005790931,0.008626287,0.01067641,0.001620228,0.000204682,0.007990624,0.03714892,0.002363481,0.2016551,0.02240203,0.7058716],"study_design_scores_gemma":[0.001236829,0.00148161,0.01313088,0.01334281,0.002839377,0.0007241622,0.008796054,0.2031914,0.01641461,0.562644,0.1753336,0.0008645887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02546091,0.008299648,0.9289849,0.002153696,0.0003272051,0.005881118,0.001840177,0.002649503,0.02440272],"genre_scores_gemma":[0.1010043,0.001250713,0.8926274,0.000286081,0.00004928014,0.0029057,0.0009575551,0.0002254494,0.0006935269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07981829,"threshold_uncertainty_score":0.4221245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442890999791555,"score_gpt":0.3316553438817261,"score_spread":0.3072264338838105,"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."}}