{"id":"W4378745485","doi":"10.3389/frobt.2023.1184614","title":"Point cloud completion in challenging indoor scenarios with human motion","year":2023,"lang":"en","type":"review","venue":"Frontiers in Robotics and AI","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Point cloud; Computer vision; Iterative closest point; Artificial intelligence; Perspective (graphical); Transformation (genetics); Rigid transformation; Point (geometry); Transformation matrix; Trajectory; Series (stratigraphy); Mathematics","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":[0.00104552,0.001317249,0.001620406,0.002017577,0.0003482364,0.001377126,0.002327194,0.001509269,0.001895284],"category_scores_gemma":[0.003556113,0.0009240804,0.001122013,0.003501949,0.0007301348,0.001796901,0.001213816,0.001283546,0.00184537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004500259,"about_ca_system_score_gemma":0.001091941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004744565,"about_ca_topic_score_gemma":0.003806146,"domain_scores_codex":[0.9991541,0.0001319446,0.00006805435,0.0002544941,0.0003392178,0.00005225782],"domain_scores_gemma":[0.9985282,0.0006605488,0.0001436892,0.0001447376,0.0004649024,0.00005777527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004781099,0.00004636613,0.0006775411,0.003320738,0.0001234965,0.0001726569,0.0001075773,0.02671228,0.002618259,0.005050566,0.00857029,0.9525525],"study_design_scores_gemma":[0.00007362928,0.0005301591,0.009336819,0.002528869,0.0003778563,0.00543123,0.000797928,0.3632298,0.01938746,0.0461635,0.5518394,0.000303463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.008322622,0.4650443,0.5163969,0.0007041268,0.000576288,0.0001699298,0.0003195626,0.0009986731,0.007467632],"genre_scores_gemma":[0.1144839,0.5816741,0.2923511,0.0004497832,0.001118548,0.0003349647,0.001990422,0.0003895906,0.007207541],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004744565,"threshold_uncertainty_score":0.009433866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082789584891906,"score_gpt":0.2641545796106312,"score_spread":0.2333266837617121,"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."}}