{"id":"W1840542724","doi":"10.1109/igarss.2005.1525322","title":"Image georeferencing using LIDAR data","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Georeference; Lidar; Computer science; Remote sensing; Computer vision; Artificial intelligence; Computer graphics (images); Geology; Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001205872,0.00005565554,0.00004708091,0.00001014617,0.0001124058,0.00003314822,0.0002608305,0.00002186499,0.002111193],"category_scores_gemma":[0.0000117941,0.00004748526,0.00001112748,0.00009812417,0.0000592719,0.0002438211,0.0002879481,0.0000547244,0.002216268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005780847,"about_ca_system_score_gemma":0.000005584394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009539902,"about_ca_topic_score_gemma":0.0002639936,"domain_scores_codex":[0.9994197,0.00001092015,0.00009089507,0.000227752,0.0001131748,0.000137574],"domain_scores_gemma":[0.9992929,0.00001223356,0.00002159123,0.0006190647,0.000002420231,0.00005182857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003393392,0.0001006967,0.003861918,0.000003003077,0.00001020687,0.000002658394,0.0003977272,0.001247728,0.5485253,0.0003303092,0.02348547,0.4220316],"study_design_scores_gemma":[0.0001664574,0.000007884289,0.01545619,0.000006456833,0.00002088435,0.0000337284,0.0001480737,0.5989848,0.01092651,0.0003195131,0.3736492,0.0002802982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6577002,0.000007061154,0.0309322,0.000695338,0.00002170404,0.00007245071,0.000005063457,0.00008525213,0.3104808],"genre_scores_gemma":[0.7226761,0.000002186651,0.2760127,0.0002080986,0.00006398186,9.88168e-8,0.00001224641,0.000006449633,0.001018192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5977371,"threshold_uncertainty_score":0.998801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04516242431867987,"score_gpt":0.2868626614885553,"score_spread":0.2417002371698754,"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."}}