{"id":"W3194956298","doi":"10.5281/zenodo.5116511","title":"pha4ge/SARS-CoV-2-Contextual-Data-Specification: Release V 2.0.2","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.01198831,0.002989806,0.001442003,0.002288095,0.0008035581,0.004001247,0.003028073,0.003424554,0.09390189],"category_scores_gemma":[0.02625758,0.002820976,0.0020904,0.001427489,0.0008947797,0.003605166,0.003368715,0.003948305,0.1156599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292621,"about_ca_system_score_gemma":0.003760114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008070927,"about_ca_topic_score_gemma":0.005966499,"domain_scores_codex":[0.9934157,0.001951372,0.001111153,0.0008651398,0.001940367,0.0007161816],"domain_scores_gemma":[0.9825172,0.00637484,0.0009563321,0.005585076,0.004072958,0.0004936838],"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":[0.001933793,0.000190283,0.004180829,0.002138342,0.0001902722,0.0003623048,0.0006523079,0.005823719,0.01471041,0.01730629,0.8981481,0.05436351],"study_design_scores_gemma":[0.0003352126,0.0001094583,0.001336725,0.0004655424,0.00007437252,0.0002706525,0.0001362296,0.005709528,0.0189939,0.008625592,0.9637877,0.0001549428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005655377,0.0006547933,0.27869,0.002272202,0.001249745,0.001512385,0.3525707,0.3135445,0.04385023],"genre_scores_gemma":[0.0379738,0.0009145258,0.1380152,0.003147503,0.0003775206,0.002753928,0.6692043,0.1177157,0.02989758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09390189,"threshold_uncertainty_score":0.3141332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1405237249403318,"score_gpt":0.3404009650235825,"score_spread":0.1998772400832507,"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."}}