{"id":"W3127329434","doi":"10.7492/ijaec.2015.022","title":"Modeling Short-term Egypian Economic Housing Supply and Needs","year":2015,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Term (time); Business; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002039143,0.00006280887,0.00008448068,0.0002262752,0.00005022433,0.00008101729,0.00007783408,0.00004113529,0.000005416535],"category_scores_gemma":[0.00003145752,0.00005679879,0.00002405558,0.00002729605,0.0000550431,0.0001536827,0.00001966516,0.0001300469,3.446667e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007910906,"about_ca_system_score_gemma":0.00007814605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005432349,"about_ca_topic_score_gemma":0.00004447592,"domain_scores_codex":[0.9995242,0.00001558768,0.0001550483,0.00005490928,0.0001664316,0.00008383855],"domain_scores_gemma":[0.9997312,0.00002141031,0.00003893385,0.00001960498,0.00007837876,0.0001105084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001759346,0.00002203976,0.0281035,0.00002223453,0.0004274745,0.00005204136,0.04455196,0.2026361,0.00127114,0.03768229,0.00008803698,0.6849673],"study_design_scores_gemma":[0.01533877,0.00141047,0.04363982,0.004406517,0.0006294445,0.01875787,0.1572749,0.4334378,0.003425224,0.06464157,0.2516673,0.00537038],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836779,0.0005119375,0.0122095,0.001674451,0.001509888,0.00002464844,0.000001658895,0.00001688448,0.0003732012],"genre_scores_gemma":[0.9928629,0.0004689728,0.005950828,0.00001220819,0.0006801588,3.341456e-7,9.252656e-7,0.000005247189,0.00001839145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6795969,"threshold_uncertainty_score":0.2316187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621635625128356,"score_gpt":0.2455049454364533,"score_spread":0.2292885891851697,"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."}}