{"id":"W2811499654","doi":"10.1145/3197517.3201314","title":"StrokeAggregator","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sketch; Computer science; Cluster analysis; Pairwise comparison; Aggregate (composite); Perception; Computer graphics (images); Artificial intelligence; 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":[0.001248996,0.00221023,0.001308099,0.002601846,0.001081196,0.00382859,0.003407481,0.001571105,0.05877687],"category_scores_gemma":[0.007320907,0.001075745,0.00164497,0.002419505,0.0007168364,0.003644943,0.004988808,0.00171673,0.0216559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007210239,"about_ca_system_score_gemma":0.00132089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930735,"about_ca_topic_score_gemma":0.004099057,"domain_scores_codex":[0.9985775,0.0001419878,0.0001350761,0.0003953165,0.0006214512,0.0001286184],"domain_scores_gemma":[0.9974769,0.0004456161,0.0001543835,0.001202911,0.0005534618,0.0001667681],"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":[0.0004714737,0.0001495031,0.002207508,0.0006018836,0.000145421,0.0002921671,0.0009562245,0.01421044,0.02650513,0.02803518,0.07344066,0.8529845],"study_design_scores_gemma":[0.0001586403,0.0003016704,0.003195563,0.0001686205,0.0001481119,0.001212952,0.0006175876,0.3935923,0.09747094,0.03332415,0.4695746,0.0002349882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006369527,0.0002670372,0.9202353,0.0001301209,0.0001572333,0.0004008733,0.001429138,0.05797243,0.0130383],"genre_scores_gemma":[0.08449508,0.0003793688,0.8730815,0.0002138483,0.00006486364,0.000726867,0.005341462,0.01274717,0.02294981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05877687,"threshold_uncertainty_score":0.1966282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607676232239094,"score_gpt":0.2947656072120313,"score_spread":0.2686888448896404,"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."}}