{"id":"W2981914530","doi":"10.4095/219690","title":"Application Potential of Planned SAR Satellites - a Preview","year":2000,"lang":"en","type":"report","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Remote sensing; Satellite; Computer science; Geodesy; Environmental science; Geology; Aerospace engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002820831,0.0001943862,0.0004442042,0.00008705549,0.00005303882,0.00002630401,0.0001497663,0.0002176737,0.003615202],"category_scores_gemma":[0.00001326808,0.0001349631,0.0001765336,0.0001339586,0.0000591281,0.00004933597,0.000006007836,0.0001535691,0.0002648359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004159177,"about_ca_system_score_gemma":0.000218866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00301432,"about_ca_topic_score_gemma":0.000184745,"domain_scores_codex":[0.99848,0.00004138944,0.0004722062,0.0003019219,0.0004995696,0.0002048691],"domain_scores_gemma":[0.9992591,0.00003841872,0.0002691908,0.0002743074,0.00008135948,0.00007763243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001931899,0.00001048633,0.001078208,0.0005116505,0.00004457113,0.000009654808,0.00001158836,0.0005221276,0.000007619922,0.000001715411,0.00300326,0.9947798],"study_design_scores_gemma":[0.0001254908,0.0001765016,0.03182127,0.0005400823,0.0002088289,0.0002437456,0.00002693204,0.01404603,0.0001241374,0.0003374367,0.951888,0.0004615601],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01414972,0.05075946,0.0001412036,0.00009900168,0.000804136,0.0008389279,0.000354156,0.00009044066,0.932763],"genre_scores_gemma":[0.4962928,0.3940837,0.01812956,0.0003188878,0.003508171,4.1693e-8,0.01275979,0.00005761994,0.07484943],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9943182,"threshold_uncertainty_score":0.9972956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716374600891922,"score_gpt":0.2373859880203603,"score_spread":0.2202222420114411,"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."}}