{"id":"W2108170533","doi":"10.5623/cig2012-005","title":"Web-Based Geoprocessing and Workflow Creation for Generating and Providing Remote Sensing Products","year":2012,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Earth Institute, Columbia University; Deutsches Zentrum für Luft- und Raumfahrt; Friedrich-Schiller-Universität Jena","keywords":"Computer science; Web Coverage Service; Web service; Workflow; Geospatial analysis; Database; Interoperability; World Wide Web; Software engineering; Web mapping; Web modeling; Remote sensing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005722514,0.0001085246,0.0001610859,0.0001729629,0.0005943225,0.0009758819,0.0001274192,0.00003036132,0.000006227393],"category_scores_gemma":[0.005845412,0.00008400266,0.00001940009,0.0004120889,0.00007038932,0.0004015319,0.000148702,0.00004364789,0.000009250722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001625665,"about_ca_system_score_gemma":0.00003964949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009248871,"about_ca_topic_score_gemma":0.000004505357,"domain_scores_codex":[0.9982798,0.00007980749,0.0003738344,0.0004750273,0.0004699973,0.0003215058],"domain_scores_gemma":[0.99832,0.0008118086,0.0001846211,0.0004127905,0.0001718398,0.000098881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006644971,0.000009254481,0.0008918769,0.00007498963,0.000004287514,3.935147e-7,0.0006320443,0.0001756391,0.001827856,0.00007811844,0.002308192,0.9939907],"study_design_scores_gemma":[0.0002889859,0.0000155349,0.001500888,0.0001117305,0.0000215502,0.000007189899,0.0003821794,0.9862662,0.0008864984,0.003383136,0.00700469,0.000131397],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6275361,0.0002326693,0.3699295,0.0010812,0.0003788041,0.0003307319,0.000003227208,0.00006343416,0.0004443503],"genre_scores_gemma":[0.6127373,7.52099e-7,0.3865792,0.0001239312,0.0001913704,0.000001016097,0.000006351927,0.000006707352,0.0003533722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9938593,"threshold_uncertainty_score":0.9410452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09759186777562216,"score_gpt":0.3547323291809737,"score_spread":0.2571404614053515,"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."}}