{"id":"W4407941953","doi":"10.1145/3689050.3704943","title":"Designing with Data: Supporting Design Processes in Physicalization Construction","year":2025,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Computer science; Software engineering; Human–computer interaction","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":[0.004964675,0.001593945,0.0006860612,0.001820142,0.002920663,0.01313721,0.002406279,0.002481693,0.03396763],"category_scores_gemma":[0.024794,0.000992269,0.001410198,0.001918471,0.005850763,0.01034627,0.006527396,0.002251905,0.00421168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431502,"about_ca_system_score_gemma":0.002966851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257591,"about_ca_topic_score_gemma":0.002110969,"domain_scores_codex":[0.9965455,0.001814506,0.000189205,0.0005507082,0.0006953376,0.0002047354],"domain_scores_gemma":[0.9853812,0.008522714,0.0005419112,0.00349065,0.001460491,0.0006031854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"design_other","study_design_scores_codex":[0.0002994719,0.0004296684,0.006049028,0.002134812,0.00006586553,0.0007416861,0.04335036,0.01401663,0.03254473,0.501353,0.02858683,0.370428],"study_design_scores_gemma":[0.0001159689,0.0002675434,0.003263312,0.001411303,0.0001501478,0.0006871499,0.0195041,0.06517917,0.04784554,0.4618729,0.3995343,0.0001686884],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01915433,0.0002580534,0.9399198,0.002681104,0.000192021,0.0002692531,0.0003168945,0.003394356,0.03381416],"genre_scores_gemma":[0.2861422,0.0006502942,0.6952079,0.0005248151,0.00008131113,0.0004668506,0.0008835748,0.002442594,0.01360044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03396763,"threshold_uncertainty_score":0.1136331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04747030383320248,"score_gpt":0.3338864210195641,"score_spread":0.2864161171863616,"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."}}