{"id":"W2332683317","doi":"10.14358/pers.82.4.257","title":"Automatic Point Cloud Registration Using a Single Octagonal Lamp Pole","year":2016,"lang":"en","type":"article","venue":"Photogrammetric Engineering & Remote Sensing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Point cloud; Geography; Remote sensing; Point (geometry); Cartography; Computer graphics (images); Geology; Geodesy; Computer science; Computer vision; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005186872,0.0002510081,0.0002536694,0.0002814937,0.0001570286,0.0001376012,0.00012647,0.0001049176,0.0001746367],"category_scores_gemma":[0.0004822873,0.0001830744,0.0001206135,0.001074191,0.00004221458,0.0002983089,0.00001264054,0.0001492801,0.00005696866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005139435,"about_ca_system_score_gemma":0.00003402121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498036,"about_ca_topic_score_gemma":0.0004702841,"domain_scores_codex":[0.9982885,0.00007143556,0.0003611645,0.0003444995,0.0003660216,0.0005683763],"domain_scores_gemma":[0.9990444,0.0003138201,0.0001230315,0.00025504,0.00006817075,0.0001954966],"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":[0.00001244268,0.00001004449,0.001141967,0.00004915481,0.00002699607,0.00005409157,0.0001170308,0.002289927,0.05290715,0.000005806525,0.00005310915,0.9433323],"study_design_scores_gemma":[0.0004383491,0.0001237419,0.01123808,0.0003393664,0.00003300099,0.0003365916,0.00008512205,0.9778477,0.006935955,0.0001206547,0.001966914,0.0005345035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454306,0.0003221497,0.1519861,0.0001007265,0.000831167,0.0001626227,0.00001477964,0.0004089487,0.0007429421],"genre_scores_gemma":[0.9475281,0.00001301778,0.05197932,0.00005871826,0.0002736046,2.363408e-8,0.00002025426,0.00001581118,0.0001111748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9755578,"threshold_uncertainty_score":0.7528848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586315566137656,"score_gpt":0.2096542851876105,"score_spread":0.1837911295262339,"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."}}