{"id":"W4283731679","doi":"10.20944/preprints202104.0633.v2","title":"A Hierarchical Framework for Assessing Transmission Causality of Respiratory Viruses","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Alberta Health Services; University of Alberta","funders":"University of Alberta","keywords":"Transmission (telecommunications); Causality (physics); Consistency (knowledge bases); Pandemic; Medicine; Biology; Virology; Computer science; Coronavirus disease 2019 (COVID-19); Artificial intelligence; Disease; Pathology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1599955,0.002495992,0.005259383,0.02745291,0.002489589,0.007432705,0.004033757,0.002388945,0.006867117],"category_scores_gemma":[0.2947549,0.001844125,0.009401885,0.01367249,0.009483325,0.00804558,0.008861428,0.003167311,0.0005408961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007139651,"about_ca_system_score_gemma":0.01095117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01485324,"about_ca_topic_score_gemma":0.01401799,"domain_scores_codex":[0.7189604,0.2407052,0.01781382,0.01138588,0.009566411,0.001568248],"domain_scores_gemma":[0.4828247,0.464221,0.02280447,0.0191283,0.009420644,0.001600905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005850766,0.0001104663,0.02606444,0.03695307,0.02048775,0.0004916342,0.003927676,0.03284299,0.0007462826,0.7499015,0.007176562,0.1207124],"study_design_scores_gemma":[0.0003567165,0.0003132718,0.007736519,0.005937384,0.006099956,0.000249206,0.0007364564,0.0335796,0.000251359,0.9309629,0.01365404,0.00012252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01895996,0.07617954,0.8664303,0.01564496,0.0007461687,0.004155842,0.007732464,0.0006127517,0.009538043],"genre_scores_gemma":[0.2866881,0.01086172,0.6902276,0.001886743,0.0004923685,0.006354528,0.002527048,0.00006877339,0.000893176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1599955,"threshold_uncertainty_score":0.8461473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6525977021533828,"score_gpt":0.5489066263480011,"score_spread":0.1036910758053816,"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."}}