{"id":"W4393676837","doi":"10.5281/zenodo.3687222","title":"SYNERGxDB SQL Dump","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Technology and Education Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"SQL; Database; Computer science; PL/SQL; SQL/PSM; Programming language; World Wide Web; Query by Example","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":[0.001143181,0.002191494,0.001114478,0.003688717,0.001043273,0.002306049,0.002076844,0.001037464,0.07491485],"category_scores_gemma":[0.004228615,0.0009954211,0.001147844,0.004754019,0.0003910279,0.001683236,0.001797432,0.002219696,0.111794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044729,"about_ca_system_score_gemma":0.002570859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139397,"about_ca_topic_score_gemma":0.01369354,"domain_scores_codex":[0.9983681,0.000168497,0.0002029262,0.000491532,0.0005420214,0.000226964],"domain_scores_gemma":[0.9974664,0.0002843284,0.0001355722,0.001054336,0.0008022862,0.0002571041],"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":[0.0001375444,0.00004027775,0.0005512296,0.0001934704,0.00001755033,0.00001902753,0.00001332932,0.000249984,0.0005227836,0.0003446539,0.9945899,0.003320387],"study_design_scores_gemma":[0.0003107529,0.00004645333,0.006577506,0.0001098075,0.00003013116,0.0001001631,0.0001245725,0.002052256,0.004044844,0.001499157,0.9850569,0.00004744816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004936326,0.00002883209,0.0004232449,0.00006461591,0.00005242026,0.00004953291,0.9910179,0.006016114,0.001853607],"genre_scores_gemma":[0.0007929504,0.00002696734,0.0005554081,0.00003322004,0.00000600685,0.00007687624,0.9972141,0.0004526097,0.0008419463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07491485,"threshold_uncertainty_score":0.2506151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812455953506492,"score_gpt":0.24953558949314,"score_spread":0.2114110299580751,"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."}}