{"id":"W2242445149","doi":"","title":"Insar Applications in Environmental Sciences","year":2015,"lang":"en","type":"article","venue":"Geopolitics History and International Relations","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Radar; Interferometric synthetic aperture radar; Extraterrestrial life; Synthetic aperture radar; Radar imaging; Venus; Space-based radar; Satellite; Spacecraft; Geology; Computer science; Radar engineering details; Telecommunications; Aerospace engineering; Engineering; Physics; Astrobiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009225163,0.001326167,0.0007871842,0.001684572,0.0005630098,0.002260802,0.001071009,0.002033937,0.02293738],"category_scores_gemma":[0.001356692,0.0002991725,0.0005790463,0.004073601,0.000656614,0.001678425,0.001743488,0.001522825,0.02155192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014845,"about_ca_system_score_gemma":0.0006719102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136099,"about_ca_topic_score_gemma":0.0007319737,"domain_scores_codex":[0.9990618,0.000187358,0.00005688671,0.00021554,0.0004152895,0.00006309951],"domain_scores_gemma":[0.9990293,0.0002904185,0.00008193835,0.0001186835,0.0004264026,0.00005328744],"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":[0.00005956328,0.00004844373,0.001908965,0.001706339,0.00005361527,0.0004568594,0.0001839763,0.01087824,0.006619671,0.04122468,0.09546991,0.8413898],"study_design_scores_gemma":[0.000010118,0.0000409627,0.001900718,0.0004414952,0.00002714874,0.0004933633,0.0001703478,0.01351948,0.003024277,0.03663319,0.9436902,0.00004860119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009399447,0.1739021,0.4406079,0.01134808,0.008994834,0.0005240164,0.008888232,0.008835824,0.3374996],"genre_scores_gemma":[0.2377589,0.2203148,0.3656703,0.006163131,0.01550089,0.0008737144,0.0228207,0.001959822,0.1289379],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02293738,"threshold_uncertainty_score":0.07673323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345453809127053,"score_gpt":0.214499996471845,"score_spread":0.1810454583805744,"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."}}