{"id":"W1604652450","doi":"","title":"Barrio por barrio: reclamando nuestras ciudades / Neighborhood by Neighborhood: Reclaiming Our Cities.","year":2011,"lang":"es","type":"book-chapter","venue":"POLI-RED (Revistas Digitales Politécnicas) (La Universidad Politécnica de Madrid)","topic":"Latin American Urban Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Persona; Political science; Humanities; Sociology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.001839701,0.004775028,0.005539095,0.001824206,0.003366315,0.002251868,0.00584251,0.003204949,0.002117283],"category_scores_gemma":[0.00154158,0.005347535,0.003372732,0.00133758,0.006778528,0.002394082,0.002308478,0.003861101,0.001299664],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005328363,"about_ca_system_score_gemma":0.004483473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124857,"about_ca_topic_score_gemma":0.000536427,"domain_scores_codex":[0.9797304,0.001795227,0.004075385,0.004456655,0.003129658,0.00681271],"domain_scores_gemma":[0.9831257,0.002601278,0.004434233,0.004163846,0.00111836,0.004556541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005911906,0.0005654813,0.007211741,0.0006704721,0.003702112,0.0007050858,0.007744121,0.000002894915,0.00009722314,0.894253,0.06919878,0.01525787],"study_design_scores_gemma":[0.004163656,0.001152685,0.002572633,0.00264215,0.003027041,0.0003545707,0.02538883,0.00001769905,0.0001405914,0.04270449,0.9107915,0.007044164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002372654,0.009921704,0.0001195786,0.008516516,0.001065638,0.002621113,0.007341615,0.001504368,0.9665368],"genre_scores_gemma":[0.814326,0.01869367,0.0003390278,0.001759596,0.002493352,0.0000893021,0.0006647928,0.001009291,0.160625],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8515486,"threshold_uncertainty_score":0.9995363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298881419017462,"score_gpt":0.2738161320758733,"score_spread":0.2508273178856987,"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."}}