{"id":"W6912158019","doi":"10.5281/zenodo.2555344","title":"DuraCloud","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Council of Prairie and Pacific University Libraries","funders":"","keywords":"Presentation (obstetrics); Summit; Product (mathematics); Relation (database); Work (physics)","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":[0.00626584,0.001651423,0.001045392,0.003142823,0.003090489,0.008429414,0.001883669,0.002569713,0.5505525],"category_scores_gemma":[0.01656322,0.0005935648,0.0009116013,0.001780283,0.0009102426,0.005690362,0.006753582,0.003272203,0.4118544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491577,"about_ca_system_score_gemma":0.004122563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005134016,"about_ca_topic_score_gemma":0.008956792,"domain_scores_codex":[0.996207,0.0007998371,0.000195472,0.0006910582,0.001725065,0.0003815232],"domain_scores_gemma":[0.9899651,0.001477362,0.0003318373,0.0009725381,0.005498096,0.001755071],"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":[0.00004492672,0.000007500686,0.00004758167,0.00005370485,0.000002292864,0.00002899868,0.00006217622,0.00003755838,0.0001997114,0.001747987,0.9773003,0.02046723],"study_design_scores_gemma":[0.000006722772,0.000004793436,0.00005367234,0.00003329529,0.000001768442,0.00002373827,0.00006305292,0.0000584228,0.000176615,0.001132896,0.9984376,0.000007413295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.001997611,0.0104564,0.03471678,0.1553313,0.2272749,0.0009594851,0.03694304,0.0165546,0.5157658],"genre_scores_gemma":[0.008027493,0.002770352,0.005542576,0.01316058,0.01714591,0.0004361033,0.0106114,0.006157243,0.9361482],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5505525,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092388505562957,"score_gpt":0.2280572959884469,"score_spread":0.2071334109328173,"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."}}