{"id":"W7135193237","doi":"10.5281/zenodo.19006609","title":"Elevating Efficiency: A Technological Framework for Smart City Initiatives in High-Rise Residential Towers of Addis Ababa, 2013 Context","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Context (archaeology); Smart city; Consumption (sociology); Energy consumption; Electricity; Scale (ratio); Efficient energy use","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":[0.004592689,0.0005845142,0.0002466095,0.001758284,0.003390726,0.006876362,0.001680503,0.001169478,0.003235077],"category_scores_gemma":[0.002346566,0.0003208236,0.0003573055,0.001557201,0.003950768,0.002883482,0.003544344,0.001204303,0.0002644311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007414241,"about_ca_system_score_gemma":0.01040452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715813,"about_ca_topic_score_gemma":0.03492275,"domain_scores_codex":[0.997709,0.001453802,0.0000694541,0.0001799608,0.0001980649,0.0003897423],"domain_scores_gemma":[0.9987642,0.0005733674,0.0001826661,0.0000698373,0.0001987788,0.000211209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001803629,0.001345406,0.1189161,0.001221138,0.00009375429,0.002882898,0.09723814,0.02521361,0.007334893,0.4997708,0.005568963,0.240234],"study_design_scores_gemma":[0.00006953665,0.0007279845,0.1350092,0.001770385,0.0001477014,0.001201144,0.4929101,0.03513056,0.006264206,0.104211,0.2223698,0.0001883693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7493175,0.001352625,0.1102059,0.01449344,0.00009663891,0.001323942,0.0003982167,0.0002141221,0.1225976],"genre_scores_gemma":[0.9545094,0.0004121685,0.04132797,0.0002597591,0.00001052461,0.0004045923,0.00005389404,0.0000103061,0.003011462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01715813,"threshold_uncertainty_score":0.05379432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369706383810989,"score_gpt":0.2269622135127831,"score_spread":0.2032651496746732,"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."}}