{"id":"W3180587345","doi":"10.5281/zenodo.5083356","title":"pha4ge/SARS-CoV-2-Contextual-Data-Specification: Release V 2.0.1","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":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Computer science; Medicine","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":[0.01236408,0.003897039,0.002156987,0.002949525,0.001529542,0.006441153,0.00502741,0.005157316,0.212107],"category_scores_gemma":[0.03717937,0.004832681,0.003076816,0.002387556,0.001715943,0.007608163,0.005834786,0.006031069,0.2868889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130605,"about_ca_system_score_gemma":0.004221916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008926347,"about_ca_topic_score_gemma":0.005884513,"domain_scores_codex":[0.9903283,0.002464334,0.001395856,0.001587611,0.003239624,0.0009842892],"domain_scores_gemma":[0.971858,0.008002897,0.001408636,0.01077037,0.007179304,0.0007808178],"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":[0.0008891008,0.00005391257,0.001147596,0.001026802,0.0001103389,0.0001473214,0.0003527709,0.001185302,0.003600815,0.01009168,0.9615247,0.0198696],"study_design_scores_gemma":[0.0001761837,0.00005173641,0.0005407922,0.0003036884,0.00005485888,0.000178399,0.000102956,0.001691268,0.009424719,0.007171261,0.9801691,0.0001350388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.002250469,0.0005328106,0.1633461,0.002334037,0.002106837,0.0006604834,0.2733527,0.5058222,0.04959441],"genre_scores_gemma":[0.02099769,0.0005948111,0.0701344,0.003505669,0.0006744204,0.001408484,0.5056961,0.3553718,0.04161669],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.212107,"threshold_uncertainty_score":0.7095685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403661901603868,"score_gpt":0.3401420229088779,"score_spread":0.199775832748491,"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."}}