{"id":"W1579071075","doi":"","title":"Notas para el análisis de la dimensión ambiental en las dinámicas territoriales","year":2009,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Welfare economics; Economics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007254726,0.000435893,0.0006405074,0.000697544,0.0006249521,0.0006445375,0.001106311,0.001089844,0.00005902189],"category_scores_gemma":[0.001133852,0.0004874756,0.0002441565,0.0004717418,0.001259932,0.0003644127,0.0006837401,0.001795751,0.00005985573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003381838,"about_ca_system_score_gemma":0.001798057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001882984,"about_ca_topic_score_gemma":0.0007167987,"domain_scores_codex":[0.9941391,0.001834311,0.0009240288,0.001092798,0.0007990704,0.001210709],"domain_scores_gemma":[0.9968472,0.001759076,0.0003290643,0.0005772509,0.0002043974,0.0002830013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006079793,0.001122186,0.08559516,0.0001989458,0.0003874302,0.000135343,0.01582205,0.0009502863,0.002934357,0.0786015,0.003192195,0.8104526],"study_design_scores_gemma":[0.001015748,0.000161778,0.2816509,0.0004936916,0.00001860014,0.00001099156,0.003970491,0.0007335526,0.000645379,0.02380471,0.686541,0.0009532154],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.700955,0.00003434295,0.000001768958,0.003077518,0.001290569,0.0006974356,0.00003701571,0.00005015473,0.2938562],"genre_scores_gemma":[0.9087403,0.08469488,0.001042497,0.0001660736,0.002665596,0.0001298471,0.0001785435,0.00005728869,0.002324974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8094993,"threshold_uncertainty_score":0.9997577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266180710723513,"score_gpt":0.379774139476357,"score_spread":0.3471123323691219,"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."}}