{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002017668,0.001029986,0.0008858475,0.001130211,0.005297127,0.01247972,0.001817089,0.005801916,0.6210736],"category_scores_gemma":[0.01631871,0.0003920287,0.0008038086,0.0007373597,0.002228866,0.01180831,0.008917164,0.008907502,0.4449827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492137,"about_ca_system_score_gemma":0.00297139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002960113,"about_ca_topic_score_gemma":0.005743253,"domain_scores_codex":[0.9973776,0.0006026646,0.0001328132,0.0004880848,0.0009877937,0.0004110149],"domain_scores_gemma":[0.9947884,0.0007214157,0.000224921,0.0004780497,0.001811045,0.001976098],"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":[0.00001010186,0.00001309643,0.00009154111,0.0000481644,0.000002129452,0.00008060176,0.0004516513,0.000004613249,0.00007021124,0.003005008,0.9698204,0.02640247],"study_design_scores_gemma":[0.000002672403,0.000005259492,0.00006452856,0.00004966405,0.000001221221,0.0000625418,0.0006802704,0.000004166398,0.00002013385,0.0007411088,0.9983636,0.000004888567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008905645,0.006360045,0.002775474,0.2027974,0.1794675,0.0002326418,0.001776061,0.002722339,0.6029779],"genre_scores_gemma":[0.005527329,0.002456767,0.0009996132,0.104998,0.01907371,0.0001531522,0.0007852843,0.001027927,0.8649782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6210736,"threshold_uncertainty_score":0,"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."}}