{"id":"W4390353883","doi":"10.2139/ssrn.4677769","title":"Hierarchical Local Global Transformer for Point Clouds Analysis","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transformer; Computer science; Engineering; Electrical engineering; Voltage","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":[0.0004257847,0.0006314766,0.0008109613,0.001375137,0.0004061112,0.001147262,0.001086665,0.00056702,0.006764914],"category_scores_gemma":[0.001452322,0.000445191,0.0009800199,0.001743601,0.0006662637,0.001651285,0.002216907,0.001182531,0.002927319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005741187,"about_ca_system_score_gemma":0.0007293653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936018,"about_ca_topic_score_gemma":0.003850281,"domain_scores_codex":[0.9996433,0.00005587296,0.00001652636,0.00008243011,0.0001575644,0.00004422896],"domain_scores_gemma":[0.9995521,0.00009735845,0.00003139278,0.000170078,0.0001107334,0.00003840565],"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":[0.0004187304,0.0001170996,0.001657662,0.0003037516,0.0001026852,0.0002905297,0.0001908086,0.1695535,0.06841446,0.1742702,0.0111447,0.5735358],"study_design_scores_gemma":[0.00001608486,0.00004864358,0.00051878,0.00001267618,0.00002760728,0.0001536627,0.00004448072,0.9038656,0.01054366,0.07924935,0.005506348,0.00001311382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003037043,0.00004619725,0.9955567,0.00001982509,0.000008118752,0.00001519534,0.0001057795,0.0005334057,0.0006778621],"genre_scores_gemma":[0.331909,0.0004637694,0.6541256,0.0001323827,0.00008881076,0.0001603139,0.001751816,0.001443311,0.009924995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006764914,"threshold_uncertainty_score":0.02263093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303685384096206,"score_gpt":0.2573975646483713,"score_spread":0.2443607108074093,"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."}}