{"id":"W2907209954","doi":"10.22325/fes/res.2018.59","title":"El tratamiento de la dimensión social en los estudios de impacto ambiental: Análisis de contenido aplicado al caso de la Comunidad Valenciana","year":2019,"lang":"es","type":"article","venue":"Revista Española de Sociología","topic":"Public Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Sociology; Geography; Political science; 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":[0.01220645,0.0003348374,0.000472945,0.002676019,0.003075997,0.005996432,0.0008408,0.0007338036,0.003939851],"category_scores_gemma":[0.02267013,0.0003169466,0.0005609235,0.003398792,0.005058121,0.00345846,0.005670763,0.001126323,0.0002227559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00658143,"about_ca_system_score_gemma":0.00737816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846638,"about_ca_topic_score_gemma":0.04089989,"domain_scores_codex":[0.988672,0.007585125,0.0004662899,0.0007916064,0.001821364,0.0006636442],"domain_scores_gemma":[0.9800424,0.01293185,0.002712233,0.001203076,0.002338756,0.0007717839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003842343,0.0004205245,0.5234179,0.001693671,0.000371581,0.0003712181,0.3048962,0.001261226,0.003673304,0.05353766,0.001743177,0.1082293],"study_design_scores_gemma":[0.00003105314,0.0006281213,0.6117787,0.0009066511,0.0002394378,0.0001543748,0.3172328,0.001154804,0.002667613,0.01872426,0.04641949,0.00006268242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621366,0.001624981,0.004569906,0.002047833,0.00006480086,0.0001909896,0.0002124844,0.00001613072,0.02913635],"genre_scores_gemma":[0.9961253,0.0004685011,0.001266258,0.0001202478,0.00001379349,0.000185669,0.0000388703,0.000008414738,0.001773007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01846638,"threshold_uncertainty_score":0.06455463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021358710798151,"score_gpt":0.3498502073983562,"score_spread":0.3396366202903747,"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."}}