{"id":"W4401604605","doi":"10.24275/uama.128.10420","title":"Marco de resiliencia hidráulica urbana. Caso de aplicación Chihuahua, Méx.","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Water Resource Management and Quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Humanities; 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":[0.000176525,0.0005230074,0.0001649105,0.0007178146,0.001171374,0.001427568,0.0004638048,0.0004344004,0.007051322],"category_scores_gemma":[0.000232481,0.0001241689,0.000158971,0.0007351022,0.0009910449,0.0007089952,0.0008135429,0.001033961,0.0006783488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003308194,"about_ca_system_score_gemma":0.001431411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03588296,"about_ca_topic_score_gemma":0.09360465,"domain_scores_codex":[0.9999388,0.00001527021,0.000001637937,0.00001368245,0.0000156367,0.00001492512],"domain_scores_gemma":[0.9999444,0.00001987666,0.000005989952,0.000005548429,0.00001257238,0.00001162056],"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":[0.00005673756,0.00004822143,0.002486308,0.0004277641,0.00001306833,0.001361046,0.01435009,0.001457966,0.001259074,0.4745831,0.2530646,0.250892],"study_design_scores_gemma":[0.000001782037,0.00001391034,0.003594195,0.0002121477,0.000007682435,0.000308719,0.002914263,0.0004042653,0.0002725919,0.01004744,0.982217,0.00000613319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03069114,0.1232453,0.002399347,0.01548843,0.004359814,0.00004873809,0.0003855344,0.0002988934,0.8230827],"genre_scores_gemma":[0.3662068,0.05364309,0.00331256,0.001010249,0.001146093,0.00008293878,0.0003044722,0.0001216053,0.5741722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03588296,"threshold_uncertainty_score":0.07134819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173787722758067,"score_gpt":0.2313810417590784,"score_spread":0.2096431645314977,"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."}}