{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001918116,0.0005675065,0.0007521619,0.0003302536,0.0007717027,0.0001551957,0.001247486,0.0007377992,0.00407001],"category_scores_gemma":[0.001497331,0.0005734367,0.0003623969,0.0006714391,0.001481474,0.0003521772,0.0003233059,0.001089105,0.00005194968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880665,"about_ca_system_score_gemma":0.0009541516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006251095,"about_ca_topic_score_gemma":0.0006150785,"domain_scores_codex":[0.9956001,0.00131302,0.0004940327,0.0005857119,0.0008126185,0.001194533],"domain_scores_gemma":[0.9930704,0.0053008,0.0004517441,0.0003106528,0.0003337902,0.0005326256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003451052,0.0005642577,0.7518442,0.0007813346,0.001498875,0.0006199982,0.02010999,0.0118596,0.001433358,0.02471225,0.005806955,0.1773182],"study_design_scores_gemma":[0.002317555,0.0007099192,0.7098958,0.0002257387,0.0003178389,0.001205807,0.003592169,0.05285526,0.0009199453,0.008721146,0.2181995,0.001039302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265158,0.0004336814,0.003204087,0.001058365,0.0001357752,0.000223979,0.0006440241,0.000138649,0.06764565],"genre_scores_gemma":[0.9855244,0.001302923,0.01155113,0.0009331317,0.0002719118,5.479869e-7,0.0002565369,0.00001949536,0.000139931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2123925,"threshold_uncertainty_score":0.9996717,"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."}}