{"id":"W2770362957","doi":"10.1117/12.2304256","title":"Synthetic aperture lidar as a future tool for earth observation","year":2017,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Lidar; Earth observation; Remote sensing; Synthetic aperture radar; Earth (classical element); Computer science; Geology; Astrobiology; Aerospace engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001472441,0.0002886807,0.0003109915,0.0006287139,0.0002085961,0.001112507,0.0008635963,0.001125972,0.004904296],"category_scores_gemma":[0.0009907231,0.0001325646,0.0002103443,0.0005972966,0.0003962302,0.002450813,0.0009131996,0.001035418,0.002281389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055473,"about_ca_system_score_gemma":0.000601772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004872869,"about_ca_topic_score_gemma":0.0003213697,"domain_scores_codex":[0.9995897,0.00008735112,0.00001516147,0.00005155004,0.0002175707,0.00003859141],"domain_scores_gemma":[0.999297,0.00009135114,0.00003741464,0.00006643763,0.0004057552,0.0001020119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001646129,0.0001022821,0.001290187,0.0005020843,0.0000326494,0.0002266121,0.000136852,0.004077022,0.0321209,0.1086122,0.05868298,0.7940516],"study_design_scores_gemma":[0.00002706131,0.0002685393,0.001121771,0.0002983626,0.00003134886,0.000444813,0.0001516386,0.02823856,0.008968362,0.04848232,0.9119164,0.00005087427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0228596,0.2078582,0.6057491,0.03935903,0.006358593,0.0001844313,0.002438243,0.006619317,0.1085734],"genre_scores_gemma":[0.2486811,0.1039007,0.5727835,0.006988123,0.0035797,0.0001702752,0.004920847,0.0003554933,0.05862019],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004904296,"threshold_uncertainty_score":0.01640654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182258703872248,"score_gpt":0.2394275070478654,"score_spread":0.2276049200091429,"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."}}