{"id":"W4400075160","doi":"10.1093/annweh/wxae035.170","title":"249d - Disrupting the chains of transmission of SARS-CoV-2 on a pre-vaccine movie production","year":2024,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Production (economics); Medicine; Computer science; Telecommunications; Outbreak; Economics","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":[0.0004829087,0.0003014981,0.0002862801,0.0003567396,0.001331144,0.0008551927,0.0007086729,0.0003765473,0.008979877],"category_scores_gemma":[0.0009004981,0.0001830891,0.0002758358,0.0002288843,0.0004203347,0.000174213,0.0005496439,0.0005916035,0.001773083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002466374,"about_ca_system_score_gemma":0.002836491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1873543,"about_ca_topic_score_gemma":0.2392675,"domain_scores_codex":[0.9991682,0.00008574543,0.00002434226,0.0001171484,0.0004202821,0.0001843322],"domain_scores_gemma":[0.9993687,0.00005401997,0.00004572333,0.00007247252,0.0003216085,0.0001373988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003286059,0.002148694,0.05857139,0.0002943269,0.0000599873,0.001560005,0.001362907,0.001788895,0.8143513,0.001184497,0.01037651,0.1050154],"study_design_scores_gemma":[0.0001516001,0.01252826,0.3268333,0.00009854454,0.00009003526,0.0006977552,0.002119224,0.006226306,0.527784,0.0002990841,0.1230849,0.00008694179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670875,0.0003918291,0.005009053,0.0003891177,0.000291378,0.000655273,0.001646631,0.0003313198,0.02419786],"genre_scores_gemma":[0.9546848,0.0001858263,0.006772928,0.0002561514,0.00001699437,0.0001271495,0.001426713,0.00006406901,0.0364655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873543,"threshold_uncertainty_score":0.3725275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1540317308523987,"score_gpt":0.4540980621983887,"score_spread":0.30006633134599,"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."}}