{"id":"W6893846187","doi":"10.5281/zenodo.5534131","title":"protwis/protwis: Release September 2021","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo","funders":"","keywords":"Visualization; Pandemic; Coronavirus disease 2019 (COVID-19); MEDLINE","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":[0.002746445,0.003850973,0.002156106,0.003884292,0.001324764,0.008118409,0.003705524,0.002364203,0.4136708],"category_scores_gemma":[0.008020582,0.002535898,0.001263972,0.005172418,0.0006479193,0.00460127,0.0040886,0.002683274,0.6825851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044922,"about_ca_system_score_gemma":0.001832596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005720973,"about_ca_topic_score_gemma":0.005387472,"domain_scores_codex":[0.9981414,0.0002273361,0.0001591304,0.000325087,0.0008621498,0.0002849045],"domain_scores_gemma":[0.9967805,0.0006831828,0.0003234179,0.0008421486,0.0008918986,0.0004787832],"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":[0.0002489078,0.000013096,0.00009324488,0.0002163134,0.00001580342,0.00004026374,0.00002884333,0.00009352069,0.0005831992,0.001275537,0.9849253,0.01246591],"study_design_scores_gemma":[0.00007166652,0.0000178526,0.0003030279,0.00007227795,0.0000124297,0.00005126252,0.00001539839,0.0002094587,0.0009739897,0.002047399,0.9961905,0.00003461576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0008686473,0.00131527,0.01388765,0.001704302,0.001186225,0.0001297256,0.7094114,0.1796219,0.09187489],"genre_scores_gemma":[0.002780681,0.0007568345,0.006215635,0.0005164762,0.0002362169,0.0001807834,0.8503006,0.06497996,0.07403279],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4136708,"threshold_uncertainty_score":0.8363274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329180516245024,"score_gpt":0.2569657579730081,"score_spread":0.2240477063485057,"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."}}