{"id":"W7135158497","doi":"","title":"Exploring Feedforward in Data Physicalization Authoring Tools: Supporting Design Exploration Before Fabrication","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Key (lock); Feed forward; Control (management); Set (abstract data type); Fabrication","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":[0.001264999,0.001660745,0.000705221,0.0004192636,0.0007569196,0.002713928,0.00164595,0.001568387,0.01027694],"category_scores_gemma":[0.007316808,0.001013689,0.0006203262,0.000290583,0.001228072,0.003288041,0.002615067,0.001269051,0.001346896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005405253,"about_ca_system_score_gemma":0.0008993877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005137657,"about_ca_topic_score_gemma":0.001154133,"domain_scores_codex":[0.999032,0.0002178238,0.00005469812,0.0001925985,0.000404914,0.00009801574],"domain_scores_gemma":[0.9929718,0.004677815,0.0003742828,0.001347885,0.0005021187,0.000126107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008107736,0.000647528,0.00405834,0.001985715,0.00008939198,0.001140533,0.004547993,0.1522556,0.4202857,0.02430535,0.00734718,0.382526],"study_design_scores_gemma":[0.00009747993,0.0008238452,0.001742819,0.0001974215,0.00007026154,0.0005201729,0.0008100967,0.5960018,0.3442613,0.02293951,0.03241981,0.0001155041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09529655,0.0002724428,0.8822298,0.0003713422,0.0001109454,0.0001401895,0.0001999586,0.01016758,0.01121117],"genre_scores_gemma":[0.6126892,0.0002637581,0.3773063,0.0001706549,0.00002396304,0.0001764469,0.0002468745,0.002588322,0.006534474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027694,"threshold_uncertainty_score":0.03437978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290495449990352,"score_gpt":0.307294832577276,"score_spread":0.1782452875782408,"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."}}