{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005362011,0.000200016,0.000215099,0.0006092138,0.0003491828,0.0004407132,0.001964119,0.0001055713,0.000009159998],"category_scores_gemma":[0.003648009,0.0002303611,0.00004255608,0.002223946,0.00008608914,0.005233797,0.001036641,0.0003541231,0.00002792698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475021,"about_ca_system_score_gemma":0.0001605291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118117,"about_ca_topic_score_gemma":0.0003402288,"domain_scores_codex":[0.9959782,0.001940989,0.0006395227,0.0008078226,0.0002956329,0.0003378052],"domain_scores_gemma":[0.9950796,0.0007655181,0.0004294968,0.0022068,0.001477327,0.0000412884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000589363,0.0002195116,0.0009828375,0.00003400462,0.00002178804,0.00000174975,0.007870687,0.0003056592,0.007649052,0.5916672,0.0003880081,0.3908536],"study_design_scores_gemma":[0.0005798644,0.000001432841,0.01243022,0.001036516,0.00001737668,0.000004048747,0.0006631801,0.7496671,0.1991443,0.03175725,0.004320856,0.0003778693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02298111,0.00003955859,0.9604129,0.01166263,0.0003262382,0.0003928531,0.000003586945,0.0004333645,0.003747764],"genre_scores_gemma":[0.859452,0.00005341575,0.1391978,0.00009517208,0.00002472817,0.0001630365,0.0002532857,0.00001777287,0.000742831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8364709,"threshold_uncertainty_score":0.9393852,"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."}}