{"id":"W3119423311","doi":"10.1145/3436369.3437421","title":"N-DPC","year":2020,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Point cloud; Computer science; Robustness (evolution); Point (geometry); Feature (linguistics); Feature extraction; Artificial intelligence; Data mining; Mathematics; Geometry","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":[0.000006241642,0.00002197668,0.00003155656,0.000005770497,0.000005556333,0.000005587975,0.0000258508,0.000008344877,0.0002704737],"category_scores_gemma":[0.000002404456,0.00001898699,0.00001915972,0.00005058794,0.000001251058,0.00001271679,0.000003134586,0.00002256262,0.0003582631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001601204,"about_ca_system_score_gemma":6.614119e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000127484,"about_ca_topic_score_gemma":4.845049e-7,"domain_scores_codex":[0.9998755,7.691103e-7,0.00003067396,0.00002968906,0.00002406148,0.00003924764],"domain_scores_gemma":[0.9999345,0.000001938968,8.711572e-7,0.00002712461,0.00000287039,0.00003270647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.886183e-7,0.000002622685,0.0003598409,0.00002144326,0.00004824806,0.00000401017,0.0003034284,0.9430864,0.004482249,0.0003700701,0.03256956,0.01875153],"study_design_scores_gemma":[0.00002026727,0.000001759745,0.00001298657,4.867954e-7,0.000003535184,8.17078e-8,0.00001100891,0.9950169,0.001154587,0.00002320254,0.003724255,0.0000308738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07354936,0.0001648909,0.7887202,0.001330338,0.0000400814,0.00001313212,9.07683e-7,0.001089687,0.1350914],"genre_scores_gemma":[0.9985193,0.000008125024,0.0009026446,0.0003196635,0.0000452085,3.71917e-7,7.455963e-7,0.000004634611,0.0001993217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9249699,"threshold_uncertainty_score":0.4604866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477977390486881,"score_gpt":0.1580965779614482,"score_spread":0.1433168040565794,"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."}}