{"id":"W2216617646","doi":"","title":"MODELO DIGITAL DE SUPERFICIE A PARTIR DE IMÁGENES DE SATÉLITE IKONOS PARA EL ANÁLISIS DE ÁREAS DE INUNDACIÓN EN SANTA MARTA, COLOMBIA*","year":2012,"lang":"es","type":"article","venue":"Biodiversity Heritage Library (Smithsonian Institution)","topic":"Historical and socio-economic studies of Spain and related regions","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Remote sensing; Terrain; Cartography; Metric (unit); Stereoscopy; Digital elevation model; Flood myth; Geology; Computer science; Computer vision; Archaeology; Engineering","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":[0.0002641207,0.0005603518,0.0002965692,0.0005715869,0.000256554,0.0009542769,0.0004756976,0.0004696039,0.001986584],"category_scores_gemma":[0.0008522483,0.0002017951,0.0004104452,0.0004260304,0.0002712379,0.0003781394,0.0003157513,0.0003483727,0.0004425295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555274,"about_ca_system_score_gemma":0.0007303328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1232818,"about_ca_topic_score_gemma":0.08316129,"domain_scores_codex":[0.9999045,0.00001853069,0.000005059414,0.00002793649,0.00002562203,0.00001832102],"domain_scores_gemma":[0.9998117,0.00006988021,0.00002324697,0.00001927752,0.00006313519,0.00001269945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001816488,0.00004195399,0.008914801,0.00008357132,0.00003982562,0.0001272314,0.00008333463,0.9474896,0.003550274,0.001931519,0.001310209,0.036246],"study_design_scores_gemma":[0.000005649652,0.000008319535,0.002152838,0.000005949073,0.000009160099,0.00001363658,0.00002166431,0.9961329,0.0004839243,0.0002816714,0.0008786737,0.000005732801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6735548,0.001820215,0.2940101,0.0006854452,0.0002402965,0.0001975489,0.003933729,0.003127195,0.02243076],"genre_scores_gemma":[0.9783986,0.0002558223,0.01633547,0.00002140771,0.00001966949,0.00007680796,0.000690595,0.00004685953,0.00415476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232818,"threshold_uncertainty_score":0.2451284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980322781901287,"score_gpt":0.2031059884987248,"score_spread":0.1833027606797119,"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."}}