{"id":"W7107858282","doi":"10.5281/zenodo.17732229","title":"Harnessing Modular and Prefabricated Structural Systems Integrated with Artificial Intelligence AI Automation and Renewable Energy to Accelerate Affordable Smart Housing in Africa","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ontario Tech University","funders":"","keywords":"Modular design; Automation; Quality (philosophy); Renewable energy; Affordable housing; Sustainable development; Sustainable design","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":[0.000207282,0.0002976368,0.0001659998,0.0002721351,0.0002573956,0.0005696184,0.0002564017,0.0002374475,0.002006188],"category_scores_gemma":[0.0003154922,0.0001570072,0.0002779769,0.0001952313,0.0005385428,0.0006417671,0.0007664494,0.0002818007,0.0002467325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002940107,"about_ca_system_score_gemma":0.0002677944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009772861,"about_ca_topic_score_gemma":0.002150237,"domain_scores_codex":[0.99991,0.00003055579,0.00000281754,0.00001234189,0.00002339699,0.00002092098],"domain_scores_gemma":[0.9999282,0.00002185874,0.00001258031,0.00001605897,0.00001236912,0.00000884089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000139161,0.0001326888,0.004984528,0.0003178346,0.00006470334,0.0005912997,0.0008266084,0.502566,0.1379265,0.1096016,0.001473836,0.2413753],"study_design_scores_gemma":[0.00006155528,0.000600456,0.006206724,0.0001398028,0.00006233875,0.0004243577,0.0008671985,0.8314852,0.0448284,0.06361842,0.05165372,0.00005176514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5243757,0.001128278,0.4318357,0.0007719508,0.00008249146,0.0000895479,0.00006085173,0.0003906855,0.04126474],"genre_scores_gemma":[0.9059413,0.0005378643,0.09074851,0.00003537425,0.000007918487,0.00002636675,0.000022595,0.00002935494,0.002650648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002006188,"threshold_uncertainty_score":0.006711304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122270473687623,"score_gpt":0.216203091558155,"score_spread":0.1949803868212788,"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."}}