{"id":"W3104332294","doi":"10.11159/iccste20.316","title":"NON-CONVENTIONAL BUILDING TECHNOLOGIES AS A PANACEAAGAINST THE COVID-19 PANDEMIC","year":2020,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Architectural and Urban Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panacea (medicine); Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Virology; Medicine; Outbreak; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001585495,0.0007261542,0.0003317995,0.001437421,0.0008329235,0.002960498,0.001058176,0.002062164,0.008255978],"category_scores_gemma":[0.001269674,0.0002623368,0.0006945639,0.001150476,0.001345412,0.00351808,0.001971244,0.002029129,0.002609007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356598,"about_ca_system_score_gemma":0.00148794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029385,"about_ca_topic_score_gemma":0.002182481,"domain_scores_codex":[0.997607,0.000469604,0.0001190412,0.0001485409,0.001420029,0.0002357106],"domain_scores_gemma":[0.9991139,0.000285215,0.0001444652,0.00009367776,0.0002878799,0.00007493063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001252136,0.0002691332,0.001983479,0.005464214,0.00004265507,0.0009419488,0.001458147,0.00146821,0.03127321,0.1672742,0.04964811,0.7400514],"study_design_scores_gemma":[0.000004468375,0.0002064947,0.001472984,0.0009797735,0.00001819676,0.001165213,0.0006184397,0.0003638436,0.009785344,0.008996233,0.9763598,0.00002923924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.05248898,0.4990633,0.05082148,0.02626341,0.00721959,0.0003710451,0.0003901609,0.0006059106,0.3627762],"genre_scores_gemma":[0.2765689,0.5404724,0.05768517,0.00824968,0.002639288,0.0002847563,0.0007414402,0.0003672209,0.1129912],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008255978,"threshold_uncertainty_score":0.027619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347812376533274,"score_gpt":0.2441776638817515,"score_spread":0.2006995401164188,"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."}}