{"id":"W2010223798","doi":"10.3390/rs4103006","title":"Gigapixel Imaging and Photogrammetry: Development of a New Long Range Remote Imaging Technique","year":2012,"lang":"en","type":"article","venue":"Remote Sensing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Photogrammetry; Remote sensing; Lidar; Terrain; Stereo imaging; Computer science; Rockfall; Geology; Data acquisition; Computer vision; Landslide; Cartography; Geography; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007564469,0.0001787402,0.0002220463,0.00009472643,0.0001983287,0.00005638671,0.00007611736,0.00004331895,0.00004328844],"category_scores_gemma":[0.00005701483,0.0001521614,0.00004761602,0.0002528425,0.00006400566,0.0002451078,0.0000226437,0.0001598783,0.00001984008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068787,"about_ca_system_score_gemma":0.0000486789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006805391,"about_ca_topic_score_gemma":0.001050003,"domain_scores_codex":[0.9987347,0.00008436476,0.0002752164,0.0002184287,0.0002127093,0.000474603],"domain_scores_gemma":[0.9993978,0.00006814025,0.0001083131,0.0001552884,0.00003957546,0.000230845],"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":[0.0000143158,0.00000203292,0.06905782,0.00003363774,0.000008042607,0.00001160224,0.001152643,0.000003104806,0.003510682,2.251586e-7,0.00004057599,0.9261653],"study_design_scores_gemma":[0.001213545,0.00004698698,0.7416671,0.001449177,0.00009148469,0.001765703,0.002963326,0.1945143,0.03958309,0.0004745228,0.01463449,0.001596283],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775488,0.005151638,0.1132639,0.0001068383,0.0002730151,0.0002487884,0.000003381262,0.0001298438,0.003273746],"genre_scores_gemma":[0.8446183,0.00003177928,0.1550022,0.00008708769,0.0001015415,2.206327e-9,0.00001534635,0.000007791989,0.0001359002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.924569,"threshold_uncertainty_score":0.9998084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275189135241083,"score_gpt":0.2368965891254119,"score_spread":0.214144697773001,"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."}}