{"id":"W1489631128","doi":"","title":"LA TELEDETECCIÓN POR RADAR COMO FUENTE DE INFORMACIÓN LITOLÓGICA Y ESTRUCTURAL. ANÁLISIS ESPACIAL DE IMÁGENES SAR DE RADARSAT-1","year":2014,"lang":"es","type":"article","venue":"El Servicio de Difusión de la Creación Intelectual (National University of La Plata)","topic":"Geological and Tectonic Studies in Latin America","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Geology; Cartography; Geography; Art","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":[0.001081719,0.0006086103,0.0003665078,0.002527529,0.0003373816,0.002385426,0.000472607,0.0008050569,0.006086547],"category_scores_gemma":[0.001652324,0.0003988675,0.0004525086,0.002544254,0.0008803923,0.001927303,0.0007005382,0.0007309922,0.002191807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007106199,"about_ca_system_score_gemma":0.0004513609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002404405,"about_ca_topic_score_gemma":0.002388319,"domain_scores_codex":[0.9990074,0.0001459687,0.00004001957,0.0003463904,0.0003935798,0.00006664159],"domain_scores_gemma":[0.9989634,0.0003326948,0.0002078691,0.0001208589,0.0003457069,0.00002941636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002652376,0.00006730213,0.01945674,0.001854466,0.0002203673,0.0003409602,0.001036337,0.007639019,0.1717058,0.02126945,0.0127798,0.7633646],"study_design_scores_gemma":[0.00006834125,0.000579535,0.202237,0.001102947,0.0006389073,0.004700074,0.003026505,0.05626763,0.2360038,0.026817,0.4682647,0.0002934141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2256967,0.05571648,0.581487,0.002219563,0.001241892,0.0002847708,0.006001836,0.003967394,0.1233844],"genre_scores_gemma":[0.8214425,0.01917181,0.1029307,0.001036247,0.0005699042,0.0001796448,0.003538878,0.0003970738,0.05073326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006086547,"threshold_uncertainty_score":0.02036154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005774322739450471,"score_gpt":0.225001249791787,"score_spread":0.2192269270523366,"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."}}