{"id":"W4302018627","doi":"10.5281/zenodo.7148861","title":"EOSC-Life Public database inventorying the national health databases and registries and describing their access procedures for reuse for research purposes","year":2022,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Information Technology Association of Canada","funders":"Horizon 2020 Framework Programme","keywords":"Database; Reuse; Computer science; Public access; World Wide Web; Engineering","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.03855531,0.001111196,0.001305666,0.019989,0.001869654,0.01262323,0.003279861,0.001761353,0.03511491],"category_scores_gemma":[0.08226892,0.001355417,0.001835887,0.02417412,0.001275745,0.008313109,0.007048193,0.002024567,0.04729305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00406205,"about_ca_system_score_gemma":0.02401461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082937,"about_ca_topic_score_gemma":0.00590411,"domain_scores_codex":[0.9619476,0.009966563,0.01073861,0.003259673,0.01209866,0.001988958],"domain_scores_gemma":[0.8942092,0.01858374,0.009331447,0.0411282,0.03417648,0.002570854],"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":[0.000449137,0.000220588,0.01428526,0.002461289,0.000149833,0.0004486176,0.001966985,0.002452479,0.003544414,0.08355881,0.5283374,0.3621251],"study_design_scores_gemma":[0.00004294183,0.00003769354,0.004604432,0.0007295173,0.00003472756,0.0002530871,0.0005119225,0.0006747845,0.002609597,0.003699396,0.986741,0.0000609153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01185742,0.003219657,0.1911011,0.00478855,0.0009003169,0.009329587,0.572862,0.02270597,0.1832354],"genre_scores_gemma":[0.03499837,0.003504652,0.2689517,0.001721556,0.000423115,0.006708839,0.639049,0.004710048,0.03993273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9967201,"threshold_uncertainty_score":0.2039024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4558473501788927,"score_gpt":0.3975960294570524,"score_spread":0.05825132072184025,"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."}}