{"id":"W2081808639","doi":"10.1145/2766948","title":"SecondSkin","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sketch; Computer science; Set (abstract data type); Context (archaeology); Surface (topology); Artificial intelligence; Geometry; Geometric modeling; Computer graphics (images); Algorithm; Mathematics; Geology","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":[0.0008387767,0.001511986,0.0008797157,0.001569211,0.0006583563,0.002753536,0.002302041,0.001131846,0.1151942],"category_scores_gemma":[0.00408584,0.0008987577,0.0014419,0.001051349,0.0005872829,0.003044581,0.003028772,0.001213154,0.04175807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007530588,"about_ca_system_score_gemma":0.0009268202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002800282,"about_ca_topic_score_gemma":0.006066273,"domain_scores_codex":[0.9992674,0.00009469049,0.0000560598,0.0001922226,0.0003356218,0.00005395487],"domain_scores_gemma":[0.9985161,0.000407932,0.0000642946,0.0005535634,0.0003617967,0.00009636485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001064287,0.0001769732,0.003045009,0.002395127,0.0002097791,0.0007154943,0.001356692,0.02186624,0.03311533,0.05363692,0.3759775,0.5064406],"study_design_scores_gemma":[0.0001951748,0.0002770538,0.001763264,0.0002740372,0.00007903168,0.001363564,0.0003110317,0.1436369,0.02462091,0.01837124,0.8089615,0.0001463986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02367891,0.001753093,0.5216389,0.0005165776,0.0007909896,0.0007364945,0.02160018,0.3237055,0.1055793],"genre_scores_gemma":[0.1981641,0.002327834,0.5100012,0.0006487487,0.0001616153,0.001130947,0.06784122,0.04824363,0.1714807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1151942,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05177578471137209,"score_gpt":0.3028403244809375,"score_spread":0.2510645397695654,"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."}}