{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444924,0.001650874,0.0008678632,0.002211006,0.0009443882,0.002653414,0.002382345,0.001227096,0.02199926],"category_scores_gemma":[0.006232434,0.000701774,0.001343352,0.001227979,0.000994939,0.003171053,0.005128836,0.001417542,0.00499195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972573,"about_ca_system_score_gemma":0.0005826284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007871227,"about_ca_topic_score_gemma":0.001834586,"domain_scores_codex":[0.9990358,0.0002642735,0.00006132323,0.0001764484,0.0003984855,0.00006362677],"domain_scores_gemma":[0.9974476,0.001205559,0.0001281371,0.000686679,0.0003876031,0.0001443278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006341045,0.0002123832,0.001181754,0.001252047,0.0001330378,0.0004302663,0.004017081,0.03507404,0.1000972,0.04524447,0.03825292,0.7734706],"study_design_scores_gemma":[0.0001885967,0.0006412361,0.001808985,0.000279166,0.0001010079,0.001034417,0.001727069,0.5852242,0.09927295,0.08142816,0.2280587,0.0002355553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006338473,0.0001283147,0.9788203,0.00009315237,0.00003960656,0.000149586,0.0003064555,0.01118925,0.00293493],"genre_scores_gemma":[0.06043532,0.0001777412,0.9289632,0.000117449,0.00003774968,0.0004137252,0.001289177,0.003397879,0.005167725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02199926,"threshold_uncertainty_score":0.07359487,"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."}}