{"id":"W3209807988","doi":"10.5281/zenodo.4415073","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":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.003131541,0.001368274,0.001375871,0.004331736,0.001191317,0.00516226,0.002509563,0.00290728,0.9064567],"category_scores_gemma":[0.03518555,0.001138051,0.001089242,0.00721133,0.000521305,0.003035442,0.00390669,0.00184172,0.596332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111632,"about_ca_system_score_gemma":0.004845518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907191,"about_ca_topic_score_gemma":0.01904278,"domain_scores_codex":[0.9973937,0.0004141133,0.0004204898,0.0004099903,0.000762306,0.0005993866],"domain_scores_gemma":[0.9792519,0.01056107,0.001656791,0.002201977,0.004741823,0.00158632],"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":[0.00009199686,0.00002704881,0.0003577699,0.0003739853,0.00001729393,0.00001773234,0.00001656921,0.0001004725,0.00002889186,0.0006112934,0.9950906,0.003266319],"study_design_scores_gemma":[0.0006551382,0.00006549931,0.004217241,0.0009848193,0.00003565645,0.00008558229,0.0001269083,0.0002088119,0.0003198558,0.003406952,0.9898462,0.0000472223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00006517788,0.00002876028,0.0001251397,0.000317736,0.0003003316,0.00003353346,0.9939209,0.0003105465,0.00489796],"genre_scores_gemma":[0.001936928,0.0001875849,0.0007501057,0.0005735282,0.0002190331,0.0004646062,0.9646077,0.001029452,0.03023099],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09354329,"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."}}