{"id":"W2040279394","doi":"10.1145/1360612.1360641","title":"Upright orientation of man-made objects","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orientation (vector space); Discriminative model; Artificial intelligence; Computer science; Classifier (UML); Set (abstract data type); Computer vision; Function (biology); Pattern recognition (psychology); Random forest; 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":[0.0002968153,0.0005806562,0.0004551302,0.001131523,0.0002913164,0.0008109536,0.0004173162,0.0003141596,0.001038136],"category_scores_gemma":[0.001707828,0.0002164454,0.0003958555,0.000732183,0.0006110651,0.0008855083,0.0004957372,0.0003319947,0.0007088934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128111,"about_ca_system_score_gemma":0.0002720986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003557957,"about_ca_topic_score_gemma":0.00523909,"domain_scores_codex":[0.999749,0.00004014909,0.00001114945,0.00008067448,0.00008577335,0.00003318493],"domain_scores_gemma":[0.9995608,0.000076507,0.00008127005,0.00009651205,0.0001390028,0.00004592038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007522662,0.0001618753,0.1044218,0.000266993,0.00008431324,0.0007111406,0.0005276844,0.1094238,0.1133776,0.009670535,0.003992171,0.6566097],"study_design_scores_gemma":[0.00001740123,0.000265219,0.1232399,0.00006149576,0.00004424269,0.00110863,0.0005893087,0.8082372,0.038522,0.02089808,0.006930401,0.00008618182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5479907,0.0004134131,0.4443915,0.0001122002,0.00005643439,0.00005659429,0.0004925251,0.001108365,0.005378104],"genre_scores_gemma":[0.9463052,0.0002376634,0.05186832,0.00001884503,0.00002010586,0.00001366025,0.0006625659,0.00007860871,0.00079502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003557957,"threshold_uncertainty_score":0.007074475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03252391063863135,"score_gpt":0.2273462546054421,"score_spread":0.1948223439668108,"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."}}