{"id":"W2985227638","doi":"10.1109/igarss.2019.8897898","title":"Canadian Water Microsatellite Mission - Concept Design","year":2019,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Honeywell (Canada); University of Waterloo","funders":"","keywords":"Futures contract; Water quality; Water resources; Environmental science; Environmental resource management; Water supply; Ecosystem; Range (aeronautics); Water cycle; Computer science; Remote sensing; Water resource management; Business; Geography; Engineering; Ecology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008411566,0.0008790151,0.0002449679,0.0007544416,0.001524909,0.00147247,0.001685433,0.0008989658,0.01021044],"category_scores_gemma":[0.0006150327,0.0002982247,0.0002615604,0.0004141477,0.0007919726,0.000686106,0.001653875,0.0006639548,0.003511755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00682709,"about_ca_system_score_gemma":0.009218516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1199105,"about_ca_topic_score_gemma":0.1776126,"domain_scores_codex":[0.9990741,0.00006984298,0.00001603899,0.0001136961,0.0005265098,0.0001996646],"domain_scores_gemma":[0.9995722,0.00001364796,0.00002604867,0.00002552369,0.0002745987,0.00008792921],"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":[0.001215162,0.0001637089,0.009499681,0.00081686,0.0001199688,0.001341565,0.001444091,0.09589566,0.2382328,0.1187516,0.147027,0.385492],"study_design_scores_gemma":[0.0002107976,0.0008174984,0.006368211,0.0001244211,0.00008692931,0.001169291,0.0005621039,0.1497324,0.07349653,0.009432205,0.7577195,0.0002801104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04644021,0.0014725,0.6401939,0.002732355,0.0010944,0.002341045,0.003809243,0.006429011,0.2954875],"genre_scores_gemma":[0.5562527,0.0008768599,0.3339301,0.001386205,0.0002118147,0.00224965,0.002973282,0.0009567327,0.1011627],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8800895,"threshold_uncertainty_score":0.238425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450651835558041,"score_gpt":0.1935162245781567,"score_spread":0.1790097062225763,"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."}}