{"id":"W2460509427","doi":"10.29173/cais220","title":"Information Visualization User Testing guided by BASSTEP Approach to Design: Preliminary Results","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Novelty; Visualization; Computer science; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001389912,0.0004141941,0.0005176184,0.0003053571,0.0002316856,0.008547649,0.002898909,0.0002707232,0.00001937866],"category_scores_gemma":[0.0429756,0.0003650108,0.0001218725,0.001867572,0.0003050984,0.04020827,0.0013544,0.0002461657,0.00004704234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010649,"about_ca_system_score_gemma":0.0004392882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000677508,"about_ca_topic_score_gemma":0.000001365681,"domain_scores_codex":[0.9966241,0.00009756366,0.001363276,0.0004330597,0.0008793453,0.0006027002],"domain_scores_gemma":[0.9202102,0.0002802105,0.001691016,0.0004121858,0.07709578,0.0003106065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002604589,0.0009508606,0.009745758,0.001869587,0.0001846329,5.100785e-7,0.09747657,0.001446783,0.006642307,0.1361233,0.6999259,0.04537333],"study_design_scores_gemma":[0.001552269,0.001460534,0.01358062,0.001548878,0.0001838794,0.00006521858,0.004048517,0.7144832,0.0270571,0.003466076,0.2315281,0.00102555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1405436,0.0004825485,0.7898176,0.02085794,0.001139983,0.004294357,0.001376971,0.0003529138,0.04113407],"genre_scores_gemma":[0.9593973,0.00009241788,0.03512501,0.001767479,0.0001120708,0.00007610632,0.0000917728,0.00003470982,0.00330317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8188537,"threshold_uncertainty_score":0.9998802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605888609272569,"score_gpt":0.2808145600918835,"score_spread":0.2202256991646266,"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."}}