{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008516439,0.0007421853,0.0006693489,0.00312887,0.0004802565,0.0005496186,0.0006272129,0.0004864383,0.004432814],"category_scores_gemma":[0.002033189,0.0004656035,0.0004618999,0.002920732,0.0003377725,0.001514348,0.0008944852,0.0005136174,0.00278711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221443,"about_ca_system_score_gemma":0.0007492512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004429667,"about_ca_topic_score_gemma":0.005721437,"domain_scores_codex":[0.9986902,0.0002167287,0.00004933597,0.0001088246,0.0008447121,0.00009034811],"domain_scores_gemma":[0.9994166,0.0001028853,0.00005176761,0.0001030995,0.0003057392,0.00001995016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001465512,0.0001053294,0.004592936,0.0005061308,0.00004673475,0.0001457526,0.0001050022,0.0239434,0.04909084,0.006049026,0.01771143,0.8975569],"study_design_scores_gemma":[0.0001681499,0.0004875805,0.06068461,0.0001878334,0.0001648994,0.002587518,0.00041517,0.261583,0.4463179,0.02942603,0.1976761,0.0003012285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05841983,0.002690559,0.9063469,0.0006351887,0.0003203658,0.0005897916,0.002658047,0.007183495,0.02115578],"genre_scores_gemma":[0.1926103,0.002426549,0.7875324,0.0001628141,0.0001456239,0.0003653031,0.004280532,0.0003640741,0.01211245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004432814,"threshold_uncertainty_score":0.01482928,"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."}}