{"id":"W2168465462","doi":"10.1109/robot.1998.680898","title":"An efficient online algorithm for direct octree construction from range images","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Octree; Computer science; Computer vision; Voxel; Property (philosophy); Range (aeronautics); Key (lock); Projection (relational algebra); Artificial intelligence; Robot; Object (grammar); Algorithm; Computer graphics (images)","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":[0.0005300069,0.0011892,0.001087994,0.001493093,0.0008567007,0.001601577,0.001999425,0.001067207,0.009691116],"category_scores_gemma":[0.002773257,0.0008365171,0.0009411267,0.001536758,0.0005753573,0.002269529,0.003125565,0.001710053,0.004846539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008472056,"about_ca_system_score_gemma":0.001530603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005049267,"about_ca_topic_score_gemma":0.009679742,"domain_scores_codex":[0.9992919,0.0001036168,0.00005364046,0.0001297531,0.0003165407,0.000104554],"domain_scores_gemma":[0.9985957,0.0005557252,0.00009878937,0.0003027146,0.0003487352,0.00009832111],"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":[0.0002342728,0.0001466955,0.0005312693,0.0002474872,0.00005477398,0.0001743628,0.0002116137,0.04684885,0.02135954,0.01623457,0.01870661,0.89525],"study_design_scores_gemma":[0.0002343555,0.0001592172,0.0006969637,0.00005460656,0.00004973506,0.0006694789,0.0002208638,0.8910882,0.0200997,0.05095958,0.03566449,0.0001028547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00166363,0.0001022898,0.9942267,0.00005633216,0.00002230545,0.00007143145,0.0001076353,0.002673886,0.001075833],"genre_scores_gemma":[0.02438292,0.00009155197,0.9729509,0.00004123915,0.00001475725,0.0002137979,0.000600379,0.0004234009,0.001280985],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009691116,"threshold_uncertainty_score":0.03242004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190031426390985,"score_gpt":0.2092630548271478,"score_spread":0.1973627405632379,"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."}}