{"id":"W2118235702","doi":"10.1109/gmai.2006.1","title":"3D Object Reconstruction Using Geometric Computing","year":2006,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Exploit; Computer science; Visualization; Surface reconstruction; Process (computing); Feature (linguistics); Geometric shape; Artificial intelligence; Scientific visualization; Object (grammar); Lattice (music); Reverse engineering; Computer vision; Theoretical computer science; Computer graphics (images); Surface (topology); Geometry; 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":[0.0005073135,0.0005843026,0.0007126887,0.002029448,0.000405068,0.001564211,0.0009948598,0.0008045071,0.002086386],"category_scores_gemma":[0.002092583,0.000531707,0.001050507,0.001376825,0.0009983191,0.001406557,0.001530896,0.0006789879,0.0008229594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005364348,"about_ca_system_score_gemma":0.000664157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310531,"about_ca_topic_score_gemma":0.002333541,"domain_scores_codex":[0.9994997,0.0001099986,0.00002654808,0.000104942,0.0002239656,0.00003478279],"domain_scores_gemma":[0.9992909,0.0002465732,0.00005419615,0.0002578585,0.0001237477,0.00002659052],"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":[0.0001341606,0.0000551973,0.001531488,0.0001256266,0.00007758927,0.0002336859,0.0002279373,0.3718438,0.02149952,0.03082203,0.002964559,0.5704845],"study_design_scores_gemma":[0.000007360602,0.00001908554,0.000299281,0.000008014393,0.000007282214,0.0001427345,0.00005093998,0.971742,0.00533506,0.01945415,0.00292153,0.00001250192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007376337,0.00006023435,0.9909491,0.00007409304,0.00000939486,0.00001498485,0.00003792156,0.0008592645,0.0006187179],"genre_scores_gemma":[0.1506963,0.0001695767,0.8476584,0.00004944856,0.0000153604,0.00004438229,0.0002497915,0.0001636202,0.0009530924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002310531,"threshold_uncertainty_score":0.006979585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294152097896108,"score_gpt":0.2314971783095483,"score_spread":0.2185556573305872,"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."}}