{"id":"W2980455226","doi":"10.1161/circoutcomes.117.004351","title":"Buffer or Suffer","year":2018,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Heart, Lung, and Blood Institute","keywords":"Buffer (optical fiber); Computer science; Telecommunications","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":[0.002824364,0.001040216,0.0008143713,0.001747092,0.003400047,0.007579806,0.001391368,0.00338628,0.1003786],"category_scores_gemma":[0.0192272,0.0003626988,0.0006621372,0.0005467584,0.00385079,0.006954272,0.009312375,0.005998885,0.02251641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428997,"about_ca_system_score_gemma":0.005112153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908409,"about_ca_topic_score_gemma":0.002969667,"domain_scores_codex":[0.9970727,0.0008739018,0.0001207276,0.0004423257,0.000574463,0.0009158351],"domain_scores_gemma":[0.9924337,0.001213913,0.0009496397,0.0005879085,0.0007232709,0.004091665],"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":[0.0009605127,0.001382833,0.07019345,0.0007314821,0.0002286148,0.002801102,0.01588762,0.0003040417,0.004039107,0.1871011,0.4862776,0.2300926],"study_design_scores_gemma":[0.0003200949,0.0005690668,0.02914354,0.001354588,0.0001915138,0.00364782,0.03245613,0.0006838701,0.00151117,0.1855056,0.7444642,0.0001523122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1372061,0.008815428,0.008282279,0.3780673,0.01341505,0.0005105744,0.001789639,0.0009976476,0.450916],"genre_scores_gemma":[0.6170728,0.005717882,0.004600614,0.1492807,0.007433113,0.0005078804,0.001524655,0.0006166406,0.2132458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1003786,"threshold_uncertainty_score":0.3357998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08960053229617991,"score_gpt":0.3543397250952042,"score_spread":0.2647391927990243,"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."}}