{"id":"W4366547967","doi":"10.1145/3544549.3573824","title":"Physicalization from Theory to Practice: Exploring Physicalization Design across Domains","year":2023,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"European Commission","keywords":"Operationalization; Computer science; Plan (archaeology); Domain (mathematical analysis); Data science; Informatics; Management science; Knowledge management; Engineering ethics; Engineering; Epistemology","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":[0.0635194,0.001164924,0.00101481,0.004098915,0.005347627,0.01960476,0.004461617,0.003092071,0.008630998],"category_scores_gemma":[0.08879945,0.001245625,0.001305339,0.004399031,0.03659065,0.02910646,0.01788295,0.005516448,0.001035087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066863,"about_ca_system_score_gemma":0.01231028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002871855,"about_ca_topic_score_gemma":0.002378062,"domain_scores_codex":[0.9230083,0.06323791,0.002445812,0.004929258,0.004396567,0.001982178],"domain_scores_gemma":[0.9004137,0.06963228,0.005367573,0.01484266,0.006824984,0.002918839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001455585,0.0003230383,0.009640258,0.002028575,0.0001319733,0.0003193455,0.1464732,0.005679619,0.001831834,0.7189445,0.004128882,0.1103532],"study_design_scores_gemma":[0.0001122041,0.0004028484,0.004511828,0.002752804,0.0001194348,0.0003278306,0.1868099,0.01817185,0.002967493,0.6477981,0.1359182,0.0001075763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1350693,0.003079379,0.7320054,0.0374459,0.000320733,0.001155,0.0002054124,0.0007276415,0.08999121],"genre_scores_gemma":[0.780607,0.001329483,0.2119156,0.001397568,0.00003957315,0.001180316,0.000174756,0.0003322621,0.003023502],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0635194,"threshold_uncertainty_score":0.3359267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0886265027650171,"score_gpt":0.363440735555863,"score_spread":0.2748142327908459,"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."}}