{"id":"W2982033237","doi":"10.4095/219920","title":"3D Mapping with High Resolution Images","year":2002,"lang":"en","type":"report","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resolution (logic); Computer vision; Computer science; Artificial intelligence; High resolution; Computer graphics (images); Geography; Remote sensing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003796646,0.0009752826,0.000616442,0.002571351,0.0003173705,0.001714744,0.0007093885,0.0005952393,0.009077893],"category_scores_gemma":[0.001024277,0.0005476562,0.001027612,0.002375707,0.0003230002,0.0008066822,0.001792534,0.000516181,0.004576533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032607,"about_ca_system_score_gemma":0.0004736558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198075,"about_ca_topic_score_gemma":0.004017463,"domain_scores_codex":[0.9993271,0.00009138125,0.00002682976,0.0001260338,0.0003805301,0.00004826897],"domain_scores_gemma":[0.9996592,0.00006129107,0.00002241634,0.0001348276,0.0001059457,0.00001637792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001894243,0.0001089026,0.004463333,0.0006398336,0.0001606332,0.0005079106,0.0003603017,0.1188156,0.09648532,0.006396521,0.0170277,0.7548447],"study_design_scores_gemma":[0.00007856942,0.0001184578,0.02902559,0.0002171561,0.0001164306,0.001403723,0.0004174528,0.7615291,0.06907564,0.01661777,0.1211736,0.0002264797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01688248,0.0003161864,0.9629011,0.0001328549,0.00008064589,0.0001628782,0.002870829,0.006464574,0.01018855],"genre_scores_gemma":[0.1905613,0.000711749,0.7980248,0.0001125054,0.00005373183,0.0002381228,0.00469478,0.0005577481,0.005045374],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009077893,"threshold_uncertainty_score":0.03036863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489572496337398,"score_gpt":0.2212932643912119,"score_spread":0.1723360147574721,"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."}}