{"id":"W4409671359","doi":"10.1088/2515-7620/adcf6f","title":"Development of systemic infrastructure governance mechanisms to reduce climate-health risks in cities","year":2025,"lang":"en","type":"article","venue":"Environmental Research Communications","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Systemic risk; Corporate governance; Business; Critical infrastructure; Environmental planning; Risk analysis (engineering); Computer science; Environmental science; Financial crisis; Economics; Finance; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00226966,0.00007485207,0.0001656238,0.0001714154,0.0009033174,0.0000243796,0.001452776,0.0000971411,0.0001193764],"category_scores_gemma":[0.0002291699,0.00007797276,0.00002032961,0.0004412472,0.0005802444,0.0000755747,0.001320318,0.0003972586,0.00005595315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184284,"about_ca_system_score_gemma":0.0004988443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005774718,"about_ca_topic_score_gemma":0.001135745,"domain_scores_codex":[0.9982733,0.0003690313,0.0004216472,0.0001961392,0.0003386168,0.0004012914],"domain_scores_gemma":[0.9989106,0.0002433742,0.00009093917,0.000661048,0.00001178908,0.00008222634],"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":[0.00001302123,0.0001628679,0.01758191,0.00003196468,0.00001804855,3.603577e-7,0.01472058,0.00001807047,0.001842435,0.8370914,0.0004847962,0.1280345],"study_design_scores_gemma":[0.0003593261,0.0000393486,0.7853155,0.0006894611,0.000001992053,4.724561e-7,0.08030995,0.00003196742,0.00200231,0.04362036,0.08741251,0.0002167994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359605,0.001588069,0.0005207487,0.008640287,0.00009435198,0.001160076,0.00005312796,0.00005244216,0.05193045],"genre_scores_gemma":[0.9512697,0.006502943,0.04131915,0.00009016658,0.000002996156,0.0001837224,0.00001062524,0.000004947313,0.0006157528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7934711,"threshold_uncertainty_score":0.6947678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074258286820658,"score_gpt":0.4295496955566664,"score_spread":0.3221238668746006,"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."}}