{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001772557,0.0004986849,0.0009153056,0.0004607821,0.000189078,0.0001510707,0.0006219465,0.0004915834,0.00002827571],"category_scores_gemma":[0.00003042364,0.0004713373,0.00204872,0.0008241609,0.00005866308,0.00006628593,0.00004485439,0.004451105,0.00003795726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391096,"about_ca_system_score_gemma":0.001416595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001389878,"about_ca_topic_score_gemma":0.003045017,"domain_scores_codex":[0.9951428,0.00006281895,0.0007787792,0.0004895126,0.0004670009,0.003059154],"domain_scores_gemma":[0.9990894,0.00006494414,0.0001058582,0.0003830624,0.0001293554,0.0002273706],"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":[0.00004404539,0.00003046472,0.0001848606,0.00007798149,0.01204044,0.000005179799,0.00008885682,0.9592201,0.00002422893,0.00444988,0.0002399749,0.02359407],"study_design_scores_gemma":[0.0004398236,0.00008506884,0.0000684745,0.00004598227,0.003980579,0.00004747398,0.0003371104,0.6200929,0.00003264796,0.3740905,0.0002439489,0.0005354568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01762329,0.003064857,0.9768896,0.0008523542,0.0005445537,0.0001771809,0.0001547037,0.0004066554,0.0002868175],"genre_scores_gemma":[0.991124,0.006257776,0.0009660814,0.00003555616,0.0007428076,0.00004717075,0.0002033206,0.0001025069,0.0005207507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9759235,"threshold_uncertainty_score":0.9997739,"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."}}