{"id":"W2161218269","doi":"10.1109/iv.2007.68","title":"Imago: An integrated prototyping, evaluation and transitioning environment for information visualisation","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"Defence Science and Technology Group","keywords":"Imago; Visualization; Computer science; Relation (database); Process (computing); Human–computer interaction; Rapid prototyping; Software engineering; Engineering; Programming language; Artificial intelligence; Data mining","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":[0.008507991,0.00175612,0.00128849,0.002187197,0.0009703518,0.005897794,0.003513067,0.002081339,0.01467946],"category_scores_gemma":[0.02615701,0.001508577,0.001262641,0.0008786914,0.002289572,0.006277382,0.009220459,0.002435781,0.002939187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118182,"about_ca_system_score_gemma":0.001596611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008329803,"about_ca_topic_score_gemma":0.0009599229,"domain_scores_codex":[0.9948795,0.00256609,0.0002829945,0.0005021785,0.001420826,0.0003484116],"domain_scores_gemma":[0.9791084,0.0154876,0.0005850117,0.002944207,0.0007397392,0.001135031],"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":[0.004741492,0.00161091,0.003244162,0.003011484,0.0001950396,0.002832182,0.02035055,0.0429687,0.07136071,0.1012892,0.06489162,0.6835039],"study_design_scores_gemma":[0.002225023,0.001702709,0.004552313,0.001574881,0.0001876568,0.002294477,0.002743913,0.175985,0.0565346,0.1098379,0.6413115,0.001050042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01889934,0.0003943905,0.9067636,0.0006306148,0.0002267608,0.001039809,0.001044414,0.05208554,0.01891555],"genre_scores_gemma":[0.0924941,0.0005051133,0.8891259,0.0002486768,0.00007949075,0.00214745,0.001473342,0.007868104,0.006057846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01467946,"threshold_uncertainty_score":0.04910767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651025897369757,"score_gpt":0.3186589070975228,"score_spread":0.2921486481238252,"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."}}