{"id":"W4365145818","doi":"10.3390/infrastructures8040076","title":"Interdependencies between Urban Transport, Water, and Solid Waste Infrastructure Systems","year":2023,"lang":"en","type":"article","venue":"Infrastructures","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Interdependence; Resilience (materials science); Context (archaeology); Urbanization; Critical infrastructure; Business; Environmental planning; Sustainability; Risk analysis (engineering); Computer science; Environmental resource management; Environmental economics; Environmental science; Geography; Computer security; Economic growth; Economics","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":[0.00157318,0.0004547702,0.0003351814,0.004747883,0.0009127424,0.002076445,0.0005204493,0.0004186065,0.001419305],"category_scores_gemma":[0.001901017,0.0004007791,0.000497486,0.003757201,0.0016709,0.003220644,0.001910588,0.0005960907,0.000138763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002477002,"about_ca_system_score_gemma":0.002074065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005821924,"about_ca_topic_score_gemma":0.009907848,"domain_scores_codex":[0.9984297,0.0006652506,0.0001522006,0.0001440588,0.000425456,0.0001832067],"domain_scores_gemma":[0.9980859,0.001214476,0.0002925968,0.00006588443,0.0002814992,0.00005971169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007592855,0.000112,0.06808633,0.005127622,0.0006731986,0.002756429,0.008440007,0.1081284,0.009758531,0.5303146,0.004102231,0.2624247],"study_design_scores_gemma":[0.00001634227,0.0002851014,0.1457372,0.005188422,0.0008764272,0.002819664,0.0276637,0.05261587,0.01193491,0.457498,0.2951263,0.0002380798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447885,0.1037782,0.1752448,0.004783104,0.0001661556,0.0005103355,0.001225438,0.0002653847,0.1692382],"genre_scores_gemma":[0.9435249,0.04397569,0.00969898,0.0001819004,0.0000303995,0.0001047515,0.0003046264,0.00002124951,0.002157557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005821924,"threshold_uncertainty_score":0.01797199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006235288604372361,"score_gpt":0.2193415363953304,"score_spread":0.2131062477909581,"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."}}