{"id":"W4413552261","doi":"10.64628/aam.pt3mdvxtj","title":"Businesses step up to make the products we need to get through the coronavirus pandemic","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pandemic; Coronavirus; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Business; Virology; Medicine; Outbreak; Infectious disease (medical specialty)","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":[0.001128655,0.000436925,0.0003698871,0.0009828144,0.0009411591,0.006107911,0.0002869107,0.002336119,0.01309825],"category_scores_gemma":[0.007158768,0.0002532575,0.0004551445,0.001443185,0.001144039,0.005350943,0.001602347,0.002442924,0.002070499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211255,"about_ca_system_score_gemma":0.001404751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166102,"about_ca_topic_score_gemma":0.001604516,"domain_scores_codex":[0.9993981,0.000180008,0.00002164043,0.00006609284,0.0002540479,0.0000801073],"domain_scores_gemma":[0.9983574,0.0005936226,0.0002925343,0.0002442783,0.0003126516,0.0001995238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009177361,0.00009774227,0.007438918,0.0001979455,0.0001594553,0.0003955497,0.0009801179,0.02493884,0.003207807,0.7231236,0.09630085,0.1430673],"study_design_scores_gemma":[0.00001004637,0.00002446377,0.003142637,0.0001827996,0.00003094941,0.000213129,0.001261083,0.035474,0.001927861,0.8492407,0.1084517,0.00004063617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.2473655,0.01613674,0.2798254,0.1930329,0.007029325,0.0001318117,0.002365755,0.002370469,0.251742],"genre_scores_gemma":[0.9076295,0.009956378,0.04046946,0.002902397,0.00189791,0.00004317199,0.0007502993,0.0003745209,0.03597643],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01309825,"threshold_uncertainty_score":0.043818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0727433133172,"score_gpt":0.2973381098580322,"score_spread":0.2245947965408322,"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."}}