{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002525046,0.00008672829,0.0000913226,0.00007866949,0.00006972708,0.00001623086,0.0001440497,0.00005330198,0.00009550028],"category_scores_gemma":[0.000007067848,0.00008882375,0.0001188812,0.0004232634,0.00001417775,0.0000451411,8.450946e-7,0.0002180643,0.00009624007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000622269,"about_ca_system_score_gemma":0.000003443103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003772572,"about_ca_topic_score_gemma":0.000007953059,"domain_scores_codex":[0.9995726,0.000006753281,0.0001009947,0.0001076816,0.0001001925,0.0001117452],"domain_scores_gemma":[0.9996568,0.00002731703,0.000005583929,0.0002068609,0.00001588974,0.00008755744],"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":[0.000006824712,0.00003368131,0.00004035067,0.0000410568,0.0001929316,0.000005412568,0.0004703963,0.9607213,0.0008410935,0.0001585521,0.0009414693,0.03654689],"study_design_scores_gemma":[0.0002517989,0.00005802021,0.00007011904,0.00001513251,0.0001244248,0.000001808849,0.00009276548,0.9887626,0.003509823,0.00143836,0.005391231,0.0002839057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01932887,0.0001068019,0.9771045,0.002120334,0.0000943742,0.000030178,0.00001530178,0.0005811274,0.0006184879],"genre_scores_gemma":[0.9974961,0.0002834254,0.001381944,0.0007493267,0.00003370031,0.000005948895,0.000003182836,0.00002087968,0.0000255523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9781672,"threshold_uncertainty_score":0.3622127,"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."}}