{"id":"W3034723330","doi":"10.3138/jsp.51.4.03","title":"Book Manufacturing in the COVID-19 Era","year":2020,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); History; Business; Virology; Medicine","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004787598,0.0008465035,0.000521391,0.001645115,0.002353976,0.009445859,0.0008513121,0.001333751,0.2039018],"category_scores_gemma":[0.002372788,0.0004878113,0.0004363521,0.002699617,0.001116311,0.003881455,0.002225496,0.003156535,0.1069602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005206,"about_ca_system_score_gemma":0.002227212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003699691,"about_ca_topic_score_gemma":0.009231076,"domain_scores_codex":[0.9989433,0.00008748197,0.0000480467,0.0001487056,0.0007052779,0.00006721364],"domain_scores_gemma":[0.9986454,0.0002546358,0.00006688997,0.000155768,0.0006349567,0.0002422875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001060739,0.00001017987,0.00006475915,0.00009232641,0.000001828473,0.00004577254,0.00009013101,0.00005107913,0.00020446,0.01691308,0.9277773,0.05473841],"study_design_scores_gemma":[6.096795e-7,0.000003766793,0.00007614892,0.0000652543,5.722621e-7,0.00004913103,0.00004336287,0.00002216609,0.00004580499,0.0007512358,0.9989401,0.000001972367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006969369,0.03332982,0.002989066,0.0137838,0.02793319,0.00003184268,0.0004678546,0.0009606467,0.9198068],"genre_scores_gemma":[0.003437114,0.01029481,0.001714353,0.003086591,0.002208502,0.00002120481,0.0004879176,0.0003898176,0.9783598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9905542,"threshold_uncertainty_score":0.6821193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911263503416964,"score_gpt":0.2674664906983222,"score_spread":0.2183538556641526,"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."}}