{"id":"W4242718199","doi":"10.1145/2601097.2601197","title":"PushPull++","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Seventh Framework Programme","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Vertex (graph theory); Face (sociological concept); Computer graphics (images); Algorithm; Computer vision; Theoretical computer science; Graph","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":[0.001234539,0.00328048,0.001480152,0.00136956,0.001005876,0.00374891,0.006415424,0.002023617,0.09431645],"category_scores_gemma":[0.004766004,0.002266768,0.002742449,0.001106443,0.001159251,0.004371832,0.008315483,0.003208895,0.05089094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005931086,"about_ca_system_score_gemma":0.00108143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191191,"about_ca_topic_score_gemma":0.003151405,"domain_scores_codex":[0.9984718,0.0001524559,0.0001319041,0.0002275381,0.0008364088,0.0001799487],"domain_scores_gemma":[0.9979366,0.0007815055,0.0001251707,0.0006500782,0.0003647632,0.0001418954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008882853,0.0002135136,0.001665548,0.002312389,0.0002160611,0.001222505,0.000849128,0.01587611,0.02483336,0.0495958,0.5010723,0.401255],"study_design_scores_gemma":[0.0002878302,0.0001204611,0.0005594909,0.0002122778,0.00007703716,0.0009251074,0.0001048807,0.0649379,0.04185431,0.0280849,0.8625961,0.0002396968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003439044,0.0004585396,0.568129,0.0002810945,0.0004140487,0.000329116,0.007712142,0.3907804,0.02845659],"genre_scores_gemma":[0.06693438,0.00178046,0.5728578,0.001878007,0.0002765422,0.003051147,0.04044762,0.2507386,0.0620354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09431645,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203855179524369,"score_gpt":0.206439124358186,"score_spread":0.1944005725629423,"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."}}