{"id":"W4312909836","doi":"10.29295/2311-7257-2022-108-2-44-49","title":"ТЕХНОЛОГІЯ МОДУЛЬНОГО БУДІВЕЛЬНОГО РІШЕННЯ SPEEDSTAC ДЛЯ ВІДНОВЛЕННЯ ЗРУЙНОВАНОГО ЖИТЛА В УКРАЇНІ","year":2022,"lang":"en","type":"article","venue":"Scientific Bulletin of Civil Engineering","topic":"Construction Management and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apartment; Architectural engineering; Civil engineering; Engineering; Forensic engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005237215,0.0004415967,0.0002491209,0.002074584,0.001381398,0.002590089,0.000386409,0.0004903537,0.01293568],"category_scores_gemma":[0.0008299747,0.0004991081,0.0003247837,0.002033171,0.001477571,0.001045066,0.0009576337,0.0007704109,0.005554796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112662,"about_ca_system_score_gemma":0.002365614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005166104,"about_ca_topic_score_gemma":0.01190353,"domain_scores_codex":[0.9991079,0.00007351791,0.00004136495,0.0001146661,0.0005436898,0.0001188939],"domain_scores_gemma":[0.9994445,0.00006266053,0.00007132081,0.0001038611,0.0002604849,0.00005715086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004694819,0.00009025872,0.006722296,0.0007409279,0.00003354661,0.00207087,0.005014306,0.005507716,0.1400324,0.2713914,0.01425071,0.5536761],"study_design_scores_gemma":[0.00003647369,0.0003030294,0.01019465,0.0001737178,0.00006375147,0.002340819,0.00320892,0.003184156,0.09236674,0.02955518,0.8584347,0.0001377808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2871578,0.007148504,0.1882111,0.001145012,0.001239217,0.0004597032,0.001809253,0.001634086,0.5111954],"genre_scores_gemma":[0.7622985,0.005640212,0.1207988,0.0001162315,0.0001202889,0.0003098443,0.001172211,0.0004393695,0.1091045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01293568,"threshold_uncertainty_score":0.0432741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004293243092887659,"score_gpt":0.1633300035905755,"score_spread":0.1590367604976879,"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."}}