{"id":"W3106945574","doi":"10.3390/rs12203283","title":"Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Memorial University of Newfoundland","funders":"Natural Resources Canada","keywords":"Polarimetry; Remote sensing; Constellation; Radar; Computer science; Synthetic aperture radar; Polarization (electrochemistry); Environmental science; Geology; Physics; Telecommunications; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000645782,0.0001321082,0.0001277556,0.00003926347,0.0001426089,0.00003186147,0.00006253424,0.00003846573,0.000003824232],"category_scores_gemma":[0.000009491914,0.00009576546,0.00004502504,0.0001110266,0.0000349413,0.0000408711,0.00001072641,0.0001175112,0.00000441234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007545243,"about_ca_system_score_gemma":0.000007126128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001701916,"about_ca_topic_score_gemma":6.998038e-8,"domain_scores_codex":[0.9994411,0.00001447122,0.0001204227,0.0001467975,0.0001268401,0.0001503335],"domain_scores_gemma":[0.9995885,0.000142564,0.00003620064,0.0001603632,0.000008352896,0.00006404276],"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":[0.00001204217,0.000002929437,0.00004892289,0.00001776116,0.00002617478,0.000002184811,0.0001051627,0.0004728644,0.03347895,0.000006368674,0.0003930079,0.9654337],"study_design_scores_gemma":[0.0001539268,0.00003029014,0.0001044587,0.00004001907,0.00003377297,0.00004572484,0.0001020405,0.4183854,0.2585593,0.00003238269,0.3223673,0.000145384],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1217652,0.0005310298,0.8743321,0.0009306181,0.00004937407,0.0004136681,0.000008135878,0.0003089405,0.001660938],"genre_scores_gemma":[0.7562839,0.00003586565,0.2434418,0.00004816307,0.0001433567,1.10171e-9,0.00000767211,0.00003158934,0.000007664237],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9652882,"threshold_uncertainty_score":0.3905202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527002709945329,"score_gpt":0.2189689529425308,"score_spread":0.2036989258430775,"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."}}