{"id":"W4402823359","doi":"10.48550/arxiv.2410.07195","title":"The aftermath of the Covid pandemic in the forest sector: new opportunities for emerging wood products","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Business; Virology; Biology; 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":[0.004011954,0.0004762205,0.000350768,0.002432174,0.0006540368,0.003757791,0.000676611,0.0009688945,0.002990346],"category_scores_gemma":[0.006166072,0.0001767056,0.0005983473,0.003392006,0.0009306485,0.002342896,0.001385997,0.0008149928,0.0004369017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586538,"about_ca_system_score_gemma":0.001959211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133639,"about_ca_topic_score_gemma":0.02100533,"domain_scores_codex":[0.9984633,0.0006962041,0.00008611394,0.0003207122,0.0002807703,0.0001529538],"domain_scores_gemma":[0.9964404,0.001518755,0.0008032644,0.0003514162,0.0007387644,0.0001474805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005052941,0.0002529244,0.6113663,0.002246024,0.0005541369,0.00372318,0.007982076,0.06684528,0.008186229,0.04582497,0.01077095,0.2417426],"study_design_scores_gemma":[0.00003631845,0.0004338363,0.5463185,0.003139083,0.0004061006,0.002103109,0.03738508,0.1535795,0.01374927,0.1100035,0.1325457,0.0003001904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7635496,0.01065654,0.1803801,0.00633991,0.0003807527,0.0003890457,0.01054896,0.0003688919,0.02738615],"genre_scores_gemma":[0.9343005,0.003006801,0.05618447,0.0004137778,0.0001458641,0.0001624103,0.003506524,0.00009690683,0.002182713],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01133639,"threshold_uncertainty_score":0.02254081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252624108308279,"score_gpt":0.2103331108735656,"score_spread":0.08507070004273767,"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."}}