{"id":"W4244859296","doi":"10.1111/cura.12323","title":"Hear, Here","year":2019,"lang":"en","type":"article","venue":"Curator The Museum Journal","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001097732,0.0001058326,0.0001556561,0.00004537463,0.0008724027,0.00003815718,0.000286755,0.00006289277,0.003280306],"category_scores_gemma":[0.00005330537,0.00005629681,0.00008314921,0.0001087314,0.0000209739,0.0001315922,0.0001259194,0.0009282813,0.005081294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009307277,"about_ca_system_score_gemma":0.0001278256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001893363,"about_ca_topic_score_gemma":0.000009383136,"domain_scores_codex":[0.9984973,0.0004641061,0.0002850455,0.0001118843,0.0002331218,0.0004085541],"domain_scores_gemma":[0.9990724,0.0002085414,0.0001813543,0.00032613,0.00008013621,0.000131452],"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":[0.0001164928,0.00008842089,0.04174501,0.0002492214,0.0001721623,0.00004871273,0.004068098,0.0000512074,0.004265274,0.01750661,0.9260632,0.005625621],"study_design_scores_gemma":[0.0009034196,0.00009305382,0.01347763,0.0001884604,0.00001896567,0.0000202788,0.003945426,0.00006982181,0.00002774616,0.0007754539,0.9803629,0.0001168543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293107,0.000641932,0.0002102493,0.02018624,0.0087561,0.0009526607,0.000003339019,0.00007081577,0.039868],"genre_scores_gemma":[0.9819487,0.0001263974,0.00008013064,0.005228613,0.001406241,0.00002287703,8.069102e-7,0.00002806912,0.01115815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05429973,"threshold_uncertainty_score":0.9976308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702451844134794,"score_gpt":0.393314709542865,"score_spread":0.356290191101517,"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."}}