{"id":"W3004216723","doi":"10.1145/3386569.3392443","title":"MGCN","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Discriminative model; Pattern recognition (psychology); Overfitting; Graph; Robustness (evolution); Kernel (algebra); Feature (linguistics)","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":[0.0004197629,0.001076342,0.0008687741,0.001794853,0.0004516306,0.001441141,0.002327074,0.001128798,0.01034953],"category_scores_gemma":[0.001961241,0.0003791022,0.0009029864,0.001584789,0.0007481534,0.002097249,0.001884433,0.00120165,0.004165902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256016,"about_ca_system_score_gemma":0.001213581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010329,"about_ca_topic_score_gemma":0.0131378,"domain_scores_codex":[0.9993493,0.00006504638,0.00002992588,0.0002245957,0.0002210087,0.000110132],"domain_scores_gemma":[0.9995546,0.00005509219,0.00004518171,0.0001404786,0.0001673014,0.00003732156],"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":[0.0002332231,0.0001122704,0.002494547,0.0002581577,0.0001253843,0.0001903724,0.00007034838,0.1613967,0.01314798,0.09226565,0.03657428,0.6931311],"study_design_scores_gemma":[0.00002064925,0.00005208244,0.000982212,0.00002737212,0.00002374136,0.0001479711,0.00002920248,0.917528,0.006413405,0.05301605,0.02173681,0.0000224603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0152152,0.0005247206,0.9656619,0.0003749279,0.0002168553,0.0001481182,0.001999791,0.004869246,0.01098917],"genre_scores_gemma":[0.4346792,0.00122058,0.5129316,0.001104387,0.0002774943,0.0005224168,0.01356832,0.001478983,0.03421709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034953,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792029792283235,"score_gpt":0.2153067703153445,"score_spread":0.1873864723925122,"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."}}