{"id":"W6912359359","doi":"10.5281/zenodo.4415072","title":"ijerph-995269 - Supplementary material (version 2)","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Set (abstract data type); Public health; Pandemic; Data set; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003131541,0.001368275,0.001375872,0.004331734,0.001191317,0.00516226,0.002509564,0.00290728,0.9064567],"category_scores_gemma":[0.03518557,0.001138052,0.001089244,0.007211337,0.0005213053,0.003035443,0.00390669,0.001841721,0.5963323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211163,"about_ca_system_score_gemma":0.004845513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907188,"about_ca_topic_score_gemma":0.01904278,"domain_scores_codex":[0.9973937,0.0004141133,0.0004204898,0.0004099897,0.0007623063,0.0005993866],"domain_scores_gemma":[0.9792519,0.01056107,0.001656789,0.00220198,0.004741823,0.00158632],"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":[0.00009199695,0.00002704883,0.0003577699,0.0003739856,0.00001729394,0.00001773236,0.00001656919,0.0001004727,0.00002889186,0.0006112937,0.9950906,0.00326632],"study_design_scores_gemma":[0.0006551401,0.00006549936,0.004217241,0.0009848202,0.00003565651,0.00008558237,0.0001269081,0.0002088123,0.0003198561,0.00340696,0.9898462,0.00004722239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006517782,0.00002876025,0.0001251397,0.000317736,0.0003003316,0.00003353346,0.9939209,0.0003105465,0.004897956],"genre_scores_gemma":[0.001936927,0.0001875849,0.0007501064,0.0005735288,0.0002190333,0.0004646064,0.9646077,0.001029453,0.030231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9064567,"threshold_uncertainty_score":0.1334281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816317447582374,"score_gpt":0.2719191461138777,"score_spread":0.243755971638054,"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."}}