{"id":"W4234315105","doi":"10.31829/2692-4242/biogen2020-3(1)-107","title":"On the Enterprise Dynamic Management in the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"International Journal of Biology and Genetics","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hubei University; Hubei University of Technology","keywords":"Tourism; China; Quarter (Canadian coin); Business; Government (linguistics); Coronavirus disease 2019 (COVID-19); Pandemic; Economy; Economics; Economic growth; Geography","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":[0.001949182,0.0002514278,0.000220314,0.0007789644,0.002749596,0.005524833,0.0007092627,0.00192336,0.003321017],"category_scores_gemma":[0.001896638,0.0001673959,0.0004040209,0.0008481793,0.002814731,0.005702341,0.002972283,0.001469118,0.0004046653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003505612,"about_ca_system_score_gemma":0.003460885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116149,"about_ca_topic_score_gemma":0.01310292,"domain_scores_codex":[0.9988702,0.0004509253,0.00003136885,0.0001468521,0.0001687721,0.0003319177],"domain_scores_gemma":[0.9991511,0.0002296254,0.0001037281,0.00004298811,0.0001615361,0.0003110641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002352624,0.000330796,0.04969572,0.0004833553,0.00006797261,0.002963119,0.01689038,0.01791176,0.002414095,0.6836582,0.06547876,0.1598706],"study_design_scores_gemma":[0.00004192676,0.0003505747,0.04680265,0.0008662,0.0001161251,0.001019611,0.09317161,0.1043058,0.001503898,0.403684,0.3479322,0.0002051805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4588595,0.02147778,0.05922597,0.1606202,0.002272963,0.0003041881,0.0002764768,0.0002938472,0.2966691],"genre_scores_gemma":[0.9748694,0.005975946,0.004291837,0.002876993,0.0003394318,0.00005308047,0.00007322394,0.00002419632,0.0114958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0116149,"threshold_uncertainty_score":0.02543515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06633774626025994,"score_gpt":0.4189371835935783,"score_spread":0.3525994373333184,"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."}}