{"id":"W6908926281","doi":"10.26226/morressier.5b9a8cf3dbd47e000fbf521c","title":"Resetting The Dtn Clock : a Community Hospital Experience","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Community hospital; Debriefing; Protocol (science); Stroke (engine); Fiscal year; Overhead (engineering); Workflow","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":[0.006588408,0.0006976962,0.000498013,0.0008864094,0.0154537,0.005226288,0.003028929,0.00292954,0.01074688],"category_scores_gemma":[0.01749837,0.00104214,0.0004988256,0.001843357,0.004533516,0.00453484,0.007756928,0.005629779,0.00117802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008077797,"about_ca_system_score_gemma":0.01329719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03135151,"about_ca_topic_score_gemma":0.1081403,"domain_scores_codex":[0.9916964,0.003968128,0.0003077235,0.0003781523,0.0009008118,0.002748768],"domain_scores_gemma":[0.9793646,0.002221729,0.001082713,0.0005424517,0.002010153,0.01477835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007786005,0.008382172,0.07875551,0.001163621,0.00009968273,0.03046159,0.5503744,0.0007694885,0.001377217,0.004174651,0.09218269,0.2314804],"study_design_scores_gemma":[0.0001742561,0.003196513,0.03128597,0.0008511024,0.00003652872,0.009175861,0.8136965,0.0005496467,0.0004881396,0.001804841,0.1384684,0.0002722285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9384466,0.002186702,0.0009790763,0.02913759,0.0007105142,0.0003749138,0.0001816405,0.0001359981,0.02784706],"genre_scores_gemma":[0.9779921,0.001748924,0.00106751,0.007579148,0.0001630169,0.0001479194,0.0001493101,0.0001176823,0.01103438],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03135151,"threshold_uncertainty_score":0.06233805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1487237512645411,"score_gpt":0.4020612569521543,"score_spread":0.2533375056876133,"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."}}