{"id":"W7134369870","doi":"","title":"FRDR : A Collaborative Effort","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; RDM; Data discovery; Search engine indexing; Presentation (obstetrics); Data access layer; Interoperability; Linked data; 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":[0.08728468,0.001960262,0.002500468,0.01100909,0.009983278,0.0187852,0.009100634,0.00668248,0.07241192],"category_scores_gemma":[0.1163278,0.001265833,0.002194975,0.01156881,0.004787573,0.01180125,0.02468396,0.006728262,0.04651419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02309825,"about_ca_system_score_gemma":0.1435867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1849196,"about_ca_topic_score_gemma":0.1447565,"domain_scores_codex":[0.9118369,0.02699991,0.00530627,0.01377705,0.03205721,0.01002268],"domain_scores_gemma":[0.7902202,0.01875597,0.003714717,0.04842103,0.09365332,0.04523476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001763007,0.000212119,0.001220775,0.0004669232,0.00005709552,0.0006088418,0.004745893,0.0005196788,0.002294761,0.03130479,0.7568288,0.201564],"study_design_scores_gemma":[0.00002276509,0.00002126869,0.0003898789,0.0002043897,0.00001152717,0.0001580625,0.001551329,0.0002382788,0.0003574962,0.002480055,0.9945385,0.00002632335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0168889,0.02046818,0.2879674,0.2607692,0.02713934,0.005927228,0.02622168,0.0259584,0.3286597],"genre_scores_gemma":[0.07993491,0.009067262,0.349444,0.03392267,0.003544268,0.003673486,0.03768752,0.01296019,0.4697657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1849196,"threshold_uncertainty_score":0.461611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008513225253704989,"score_gpt":0.2005663221850303,"score_spread":0.1920530969313254,"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."}}