{"id":"W1989510902","doi":"10.2118/2001-032-ea","title":"Leveraging the Reach: Monitoring Remote Assets With Geostationary Satellite Systems","year":2001,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geostationary orbit; Computer science; Satellite; Satellite broadcasting; Remote sensing; Geostationary Operational Environmental Satellite; Geology; Aerospace engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003490248,0.000184152,0.0001441377,0.0001980872,0.000296941,0.0009550186,0.001568461,0.00005292587,0.00001638678],"category_scores_gemma":[0.00003662918,0.0001441914,0.00004115986,0.0002550508,0.00004894522,0.0003852075,0.00007600703,0.000238991,0.00008829941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003357382,"about_ca_system_score_gemma":0.0006068432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04710614,"about_ca_topic_score_gemma":0.004830569,"domain_scores_codex":[0.998306,0.00009705016,0.0002716221,0.0004042788,0.0005006744,0.0004204013],"domain_scores_gemma":[0.9985971,0.0001323548,0.000145296,0.0004784322,0.0003806355,0.0002661494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007726804,0.00007092115,0.3314656,0.00007033984,0.0006814434,0.002519259,0.005311569,0.2414051,0.0002399387,0.3428734,0.006512165,0.06877302],"study_design_scores_gemma":[0.0004086354,0.00005398015,0.1015806,0.0003567138,0.000008937194,0.0008816382,0.0003813348,0.5085518,0.00001231849,0.00073711,0.3865888,0.0004380664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3572998,0.0006627698,0.5338088,0.0114702,0.004905656,0.0002817312,0.0000471077,0.0002670698,0.09125689],"genre_scores_gemma":[0.9956931,0.0000502836,0.001022547,0.0001495479,0.0003540881,0.000009868907,0.00004238807,0.00001144614,0.002666695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6383933,"threshold_uncertainty_score":0.9592392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208006016726304,"score_gpt":0.242439008049757,"score_spread":0.210358947882494,"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."}}