{"id":"W4380996230","doi":"10.3390/s23125581","title":"Scheduling Sparse LEO Satellite Transmissions for Remote Water Level Monitoring","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Satellite; Computer science; Scheduling (production processes); Constellation; Low earth orbit; Real-time computing; Satellite constellation; Energy consumption; Communications satellite; Wireless; Wireless sensor network; Remote sensing; Computer network; Telecommunications; Engineering; Electrical engineering; Aerospace engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004593519,0.0003070321,0.000375675,0.0001557042,0.0003615394,0.0002906354,0.0005452784,0.0003213995,0.0007450631],"category_scores_gemma":[0.002088346,0.0001666606,0.0001325499,0.0001965376,0.0004019091,0.0005684315,0.0004614312,0.0004610786,0.0001154802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004257314,"about_ca_system_score_gemma":0.0005506901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003975386,"about_ca_topic_score_gemma":0.006544521,"domain_scores_codex":[0.9997798,0.00007538424,0.000008824357,0.00004559062,0.00003930423,0.00005111305],"domain_scores_gemma":[0.9989937,0.0006284484,0.0001701252,0.00006299743,0.00007246481,0.0000722702],"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":[0.0002517771,0.000135562,0.002182562,0.00003468532,0.00002186927,0.00006488772,0.00008343254,0.9530542,0.005851132,0.002068841,0.0004576265,0.03579338],"study_design_scores_gemma":[0.000007300086,0.00005189493,0.0003545985,0.000001521783,0.000003377804,0.00001064829,0.00001559181,0.9975529,0.001129121,0.0007067191,0.0001632127,0.000003100149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3459484,0.0002486305,0.6495482,0.0003016806,0.00005242432,0.00007019486,0.00006044715,0.0003565911,0.00341341],"genre_scores_gemma":[0.9851602,0.00004118917,0.0142774,0.00003516269,0.00001168499,0.00001859587,0.00001924749,0.0000115038,0.000425088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003975386,"threshold_uncertainty_score":0.00790453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08195112128001246,"score_gpt":0.2954840789622386,"score_spread":0.2135329576822261,"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."}}