{"id":"W6893022605","doi":"10.5281/zenodo.13255874","title":"BY-COVID D2.3 Enabling data discovery at source using beacon-like mechanisms","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Deliverable; Interoperability; Data discovery; Beacon; Big data; Implementation; Data sharing; Neighbor Discovery Protocol; Open research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02446372,0.001987681,0.001780249,0.003595991,0.002123371,0.01225999,0.005925837,0.004726373,0.03700799],"category_scores_gemma":[0.04882902,0.002395613,0.003089162,0.003003807,0.002167507,0.0125648,0.02026682,0.007139926,0.04588675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003944202,"about_ca_system_score_gemma":0.01055521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243809,"about_ca_topic_score_gemma":0.005077712,"domain_scores_codex":[0.9772182,0.004656033,0.00190017,0.002590616,0.01162594,0.002009124],"domain_scores_gemma":[0.97451,0.007143349,0.001273186,0.009001644,0.005928074,0.002143768],"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":[0.0009978147,0.0002430464,0.001784899,0.001890658,0.0001868477,0.0007031436,0.002893323,0.003029295,0.02415644,0.2151969,0.5702546,0.1786631],"study_design_scores_gemma":[0.000145442,0.0001065689,0.0004164724,0.0002770465,0.00003772713,0.0002559443,0.0002426173,0.004990379,0.00876698,0.03852934,0.9460979,0.0001335552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002284684,0.0009283397,0.8219723,0.004343193,0.001682016,0.001509957,0.01931374,0.09577204,0.0521937],"genre_scores_gemma":[0.03434448,0.002785868,0.6413717,0.006562233,0.001034197,0.006071379,0.1619785,0.05386736,0.09198427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03700799,"threshold_uncertainty_score":0.1293781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489927242683099,"score_gpt":0.2621168298079504,"score_spread":0.2131241055396405,"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."}}