{"id":"W2001493498","doi":"10.5589/m08-010","title":"Stereo-mate generation of high-resolution satellite imagery using a parallel projection model","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthophoto; Computer vision; Artificial intelligence; Satellite; Projection (relational algebra); Computer science; Satellite imagery; Stereo image; Remote sensing; Geography; Image (mathematics); Engineering; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003601408,0.0005226053,0.0004938622,0.0005910058,0.0002123489,0.0006208985,0.0006072069,0.0004079833,0.002630898],"category_scores_gemma":[0.0007340201,0.0005080313,0.0009694272,0.0007242503,0.0003424911,0.0006534116,0.0005590882,0.0006098813,0.0009251508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151901,"about_ca_system_score_gemma":0.000588237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926153,"about_ca_topic_score_gemma":0.002559654,"domain_scores_codex":[0.999676,0.0000396789,0.00001188827,0.00006677712,0.0001872802,0.00001832354],"domain_scores_gemma":[0.9997502,0.00005828176,0.00002244756,0.00006427597,0.00009022965,0.00001459614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001072665,0.00007932829,0.0009660072,0.0002387083,0.00006781078,0.0002536419,0.0002398719,0.6360982,0.06860481,0.01737681,0.003369342,0.2725983],"study_design_scores_gemma":[0.000009139912,0.00002711861,0.0002302801,0.000004942439,0.000008164386,0.00007798552,0.00001945896,0.9853623,0.00947693,0.002198484,0.002573581,0.00001166024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004824328,0.00002604613,0.9932289,0.00001878718,0.00001873093,0.00002814422,0.00005153771,0.0004118334,0.001391595],"genre_scores_gemma":[0.2059817,0.0001844544,0.7893546,0.00003622851,0.00003051035,0.0001134455,0.0005401424,0.0002321148,0.003526868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002630898,"threshold_uncertainty_score":0.008801222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05129269743082858,"score_gpt":0.2358650964440359,"score_spread":0.1845723990132073,"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."}}