{"id":"W1576685120","doi":"10.14198/ingeo2006.41.08","title":"Lotes y conjuntos residenciales como potenciales generadores de impactos de vecindad","year":2006,"lang":"es","type":"article","venue":"Investigaciones Geográficas","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Geography; Political science; Philosophy","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"],"consensus_categories":[],"category_scores_codex":[0.0008365811,0.0008385602,0.0007468762,0.0003763947,0.000520975,0.0006893283,0.0006497405,0.0006036048,0.0002220341],"category_scores_gemma":[0.0004012808,0.0009006192,0.000298726,0.0005646786,0.0005260106,0.0004724782,0.0001624649,0.0005688187,0.0001207217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303317,"about_ca_system_score_gemma":0.001209944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061288,"about_ca_topic_score_gemma":0.0005708493,"domain_scores_codex":[0.995681,0.0003362773,0.0008976554,0.0006862284,0.0006241431,0.001774659],"domain_scores_gemma":[0.9977341,0.0004713092,0.000246603,0.000731771,0.0002289925,0.0005872297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001677374,0.0007156918,0.24671,0.002264621,0.0006287625,0.002155841,0.002053482,0.09715644,0.2897551,0.3075666,0.04056596,0.01025982],"study_design_scores_gemma":[0.003641522,0.0007431103,0.4699019,0.00288396,0.001094156,0.0008758045,0.003490572,0.05892269,0.2434579,0.1092263,0.1006839,0.005078268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619447,0.02157087,0.009473215,0.001712492,0.0005551188,0.0006613549,0.0001241633,0.000890255,0.003067846],"genre_scores_gemma":[0.9866053,0.001597049,0.008332268,0.0004082395,0.002173016,0.0000849374,0.00007617064,0.0001925742,0.0005304385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2231919,"threshold_uncertainty_score":0.9993445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169860955333321,"score_gpt":0.2461574899266634,"score_spread":0.2344588803733302,"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."}}