{"id":"W2981428310","doi":"10.4095/220067","title":"QuickBird - Geometric Correction, Data Fusion, and Automatic DEM Extraction","year":2003,"lang":"en","type":"report","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Extraction (chemistry); Fusion; Computer science; Artificial intelligence; Computer graphics (images); Chemistry; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008489661,0.0003701838,0.0004237537,0.0007410137,0.0001257475,0.0002365409,0.0002514605,0.0004557146,0.0004168527],"category_scores_gemma":[0.0006766163,0.0003531124,0.00004678107,0.001206073,0.00003541428,0.00030171,0.00007546449,0.0006079289,0.00007365955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179984,"about_ca_system_score_gemma":0.0002290966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003985788,"about_ca_topic_score_gemma":0.00006519353,"domain_scores_codex":[0.9980755,0.00003226708,0.0005288979,0.0005031885,0.0005379359,0.0003221405],"domain_scores_gemma":[0.998482,0.000201716,0.0001375596,0.0008126003,0.0002244152,0.000141695],"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":[8.833408e-7,0.00002240241,0.0009155571,0.001141751,0.00007903219,0.000009843092,0.00001551182,0.00003462915,0.0000445262,1.792587e-7,0.4116433,0.5860924],"study_design_scores_gemma":[0.0001533032,0.00002277834,0.001791568,0.0003606926,0.000249169,0.0011993,0.00007131425,0.06387497,0.0007111963,0.0000212957,0.9308615,0.0006829426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.004147626,0.2118626,0.2380233,0.00003608548,0.04146548,0.001055059,0.0002059199,0.006947297,0.4962567],"genre_scores_gemma":[0.226489,0.5152386,0.08472461,0.0004349062,0.004930858,0.0002451585,0.008357615,0.001819859,0.1577594],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5854094,"threshold_uncertainty_score":0.9998921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066898798295191,"score_gpt":0.3084114861972832,"score_spread":0.2577424982143313,"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."}}