{"id":"W4385275458","doi":"10.1145/3592436","title":"Juxtaform: interactive visual summarization for exploratory shape design","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Automatic summarization; Sketch; Workflow; Shape analysis (program analysis); Artificial intelligence; Human–computer interaction; Static analysis; Algorithm","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":[0.0004884761,0.0002101255,0.000175333,0.001092569,0.0004458794,0.0002159981,0.0008568208,0.0001324517,0.000009690413],"category_scores_gemma":[0.00005212425,0.000219385,0.0001830569,0.00263769,0.0000513525,0.0008470988,0.00003421657,0.0002038756,0.00002199064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003283952,"about_ca_system_score_gemma":0.00008233996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004066639,"about_ca_topic_score_gemma":0.000008249633,"domain_scores_codex":[0.9985083,0.0001026998,0.0003113715,0.0004818465,0.0002939647,0.0003017559],"domain_scores_gemma":[0.9983743,0.0004997063,0.0001061287,0.0006271823,0.0002934927,0.00009911728],"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":[0.0001490573,0.0008320669,0.00009497605,0.00009880565,0.0002486236,0.00001183648,0.00375929,0.001347074,0.0007132404,0.6184632,0.008331474,0.3659503],"study_design_scores_gemma":[0.0004014976,0.0006077554,0.0002443263,0.00004507826,0.00001850708,0.000002871713,0.00007073785,0.9025578,0.01098892,0.07905945,0.005672466,0.000330572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001001735,0.00001121295,0.9956363,0.0006577499,0.0005615932,0.0005747512,0.00001606255,0.001522414,0.00001812907],"genre_scores_gemma":[0.8922883,0.0006872228,0.1036675,0.001889794,0.0001037414,0.00101748,0.00009059996,0.00008413817,0.0001711593],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9012107,"threshold_uncertainty_score":0.894626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06278338194682298,"score_gpt":0.3320469739542437,"score_spread":0.2692635920074207,"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."}}