{"id":"W4287647975","doi":"","title":"¿Disponen los hogares de información para la toma de decisiones? El caso de los servicios municipales de agua","year":2020,"lang":"es","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Administrative Law and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009439453,0.0006621264,0.0007366033,0.000136581,0.001308402,0.00096071,0.003356503,0.0008466206,0.0002530688],"category_scores_gemma":[0.005394666,0.0007307136,0.0004581553,0.0007481197,0.001078016,0.0004660237,0.001654746,0.001362059,0.0001041239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008256226,"about_ca_system_score_gemma":0.00339338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01826576,"about_ca_topic_score_gemma":0.04273266,"domain_scores_codex":[0.9846771,0.01112059,0.0009415151,0.000973833,0.001030096,0.001256803],"domain_scores_gemma":[0.9897397,0.004824873,0.001191476,0.00192756,0.001398905,0.0009174555],"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":[0.0003484099,0.001713012,0.1236981,0.000979782,0.000445552,0.0002957334,0.2899919,0.0004314417,0.007170479,0.5354446,0.003637305,0.03584366],"study_design_scores_gemma":[0.002917354,0.00001150919,0.468716,0.01039292,0.0005288436,0.0001991952,0.01487314,0.05417213,0.05223449,0.0500541,0.3426847,0.003215657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.827701,0.001122444,0.06873253,0.01363337,0.0001580286,0.0008415434,0.0005389132,0.0003147138,0.08695746],"genre_scores_gemma":[0.9576339,0.006141351,0.02968234,0.0008194164,0.000126358,0.0001453904,0.000209496,0.00007409147,0.0051677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4853905,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777500253766842,"score_gpt":0.3241715965485311,"score_spread":0.2963965940108627,"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."}}