{"id":"W3112797596","doi":"10.51291/2377-7478.1655","title":"Tribal brains in the global village: Deeper roots of the pandemic","year":2020,"lang":"en","type":"article","venue":"Animal Sentience","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amorfix (Canada); University of Toronto","funders":"University of Toronto","keywords":"Mindset; Pandemic; Unintended consequences; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Environmental ethics; Global challenges; Term (time); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Epistemology; Biology; Virology; Medicine; Philosophy; Outbreak; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005308277,0.0001125946,0.0002387016,0.000005549429,0.00009379459,0.00001090053,0.0006006954,0.0000544063,0.00002835217],"category_scores_gemma":[0.005520783,0.00005463652,0.0001194509,0.0004680767,0.0002002145,0.00004683639,0.0003133105,0.0001572443,0.00001150965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005235317,"about_ca_system_score_gemma":0.00002612609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001197214,"about_ca_topic_score_gemma":0.0003110868,"domain_scores_codex":[0.9986944,0.0002440325,0.0003158032,0.0002257911,0.00027941,0.0002405767],"domain_scores_gemma":[0.9984561,0.001156311,0.0001270799,0.0001964156,0.00002811578,0.00003594568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005345052,0.00007888649,0.9485196,0.00004826221,0.00001459984,0.000007324903,0.001330891,0.00001488351,0.001277864,0.04539823,0.002722837,0.0005331096],"study_design_scores_gemma":[0.0002452345,0.0001278194,0.9493166,0.0000204885,0.00001996607,0.000004705439,0.0007221026,0.0003231293,0.00008359674,0.04622903,0.002806328,0.000100944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885051,0.0001533655,0.0005070274,0.009208896,0.00004322208,0.0002495892,0.00001044846,0.00003015569,0.001292162],"genre_scores_gemma":[0.994997,0.00002484284,0.0002124274,0.00469273,0.00005093706,0.000008426506,1.952321e-7,0.000003427595,0.00001005597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006491825,"threshold_uncertainty_score":0.6609291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2544346745307498,"score_gpt":0.4179703935271548,"score_spread":0.163535718996405,"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."}}