{"id":"W3180765319","doi":"10.48550/arxiv.2106.16237","title":"Multimodal Shape Completion via IMLE","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Point cloud; Completeness (order theory); Point (geometry); Computer vision; Image (mathematics); Robotics; Machine learning; Mathematics; Robot; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008580781,0.0002799509,0.000368792,0.0001862703,0.00008734778,0.00006317588,0.0003382832,0.0002805422,0.0003828453],"category_scores_gemma":[0.000008214037,0.0003651392,0.0003181885,0.0002954857,0.0000368597,0.00009550545,0.0002119478,0.000541219,0.0001141281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786248,"about_ca_system_score_gemma":0.00003208993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00019997,"about_ca_topic_score_gemma":0.00008167108,"domain_scores_codex":[0.9989074,0.0000443219,0.0001702992,0.000544599,0.00006931128,0.0002641013],"domain_scores_gemma":[0.9991726,0.00002747125,0.00005289039,0.0005226892,0.0001060902,0.0001182729],"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":[0.000004035973,0.00002769123,0.000823571,0.00009282031,0.0001934763,0.0001207998,0.00008311745,0.9973583,0.0004582617,0.0001064857,0.00009416282,0.0006372526],"study_design_scores_gemma":[0.000199543,0.000005642682,0.0005444515,0.000071535,0.0001860181,0.000001935856,0.00009239984,0.9977536,0.000144388,0.0005500934,0.00007420209,0.0003761689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5729039,0.0001244913,0.4251803,0.000009012076,0.000245706,0.0000544612,0.0000156094,0.0003243924,0.001142145],"genre_scores_gemma":[0.9984026,0.0002445216,0.0005711406,0.00002181254,0.0001069384,5.919197e-7,0.0002093558,0.00004178429,0.0004012748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254987,"threshold_uncertainty_score":0.9998801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05158824108379688,"score_gpt":0.1663321543326731,"score_spread":0.1147439132488762,"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."}}