{"id":"W2122658871","doi":"","title":"Dinámicas socio ambientales y productivas en la zona Norte de El Salvador : la ribera Norte del Humedal Cerrón Grande","year":2011,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Art","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":[0.0009135103,0.0003573109,0.0004386452,0.001097185,0.0007359736,0.002445979,0.0004737143,0.0004180111,0.003676757],"category_scores_gemma":[0.00157207,0.0001459646,0.0003008667,0.002457578,0.001415137,0.0007349703,0.001646875,0.0003984618,0.0002310348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004118829,"about_ca_system_score_gemma":0.0021423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2589538,"about_ca_topic_score_gemma":0.2900842,"domain_scores_codex":[0.999661,0.0001216039,0.0000143725,0.00005888057,0.00006913778,0.00007495451],"domain_scores_gemma":[0.9995258,0.0001658841,0.0001191393,0.00004158972,0.00009788572,0.00004960796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007079806,0.0003011715,0.6663796,0.001414912,0.0007917745,0.003560263,0.07551521,0.005668595,0.00612309,0.05486866,0.0103481,0.1743206],"study_design_scores_gemma":[0.0000405996,0.00009042161,0.897415,0.0003147021,0.0001942697,0.0003209796,0.02867568,0.002181388,0.0007580496,0.003944982,0.06602366,0.00004027329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640012,0.003991704,0.0003756875,0.002579334,0.0000315633,0.00002353697,0.001438551,0.00006430394,0.0274941],"genre_scores_gemma":[0.990132,0.003566367,0.0005809236,0.00005333465,0.00003411576,0.00004029887,0.0004807206,0.00002044363,0.005091833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2589538,"threshold_uncertainty_score":0.5148929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0408249363002374,"score_gpt":0.3462083831864414,"score_spread":0.305383446886204,"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."}}