{"id":"W4385525378","doi":"10.1109/mias.2023.3283742","title":"In Memoriam: Erling Casper Hesla [Society News]","year":2023,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002460521,0.0001429895,0.0001319616,0.0001423878,0.00008549813,0.00003664163,0.0001503572,0.00031249,0.004000258],"category_scores_gemma":[0.000008819753,0.0001656808,0.00005937954,0.001001007,0.00003550793,0.0001839675,0.00001573818,0.0005683635,0.02628493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651378,"about_ca_system_score_gemma":0.00002820925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002373399,"about_ca_topic_score_gemma":0.00003502311,"domain_scores_codex":[0.9990273,0.0000192844,0.0002887896,0.0002202984,0.0001860383,0.0002583053],"domain_scores_gemma":[0.999482,0.00003645019,0.00002924517,0.0003272964,0.00004263202,0.00008232176],"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":[0.000001273895,0.00002731194,0.0003465583,0.00003412935,0.00001392433,0.000002586672,0.0004345224,0.1095802,0.0228642,0.00004188695,0.8621535,0.004499832],"study_design_scores_gemma":[0.0005322372,0.000008784314,0.01281056,0.00002522709,0.00001703667,0.000008570746,0.0004218785,0.1047325,0.0009681286,0.0005458219,0.879578,0.000351255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928037,0.00007397556,0.01247519,0.002970154,0.00450239,0.001527209,0.00005624279,0.003035644,0.0473222],"genre_scores_gemma":[0.9417151,0.0002794609,0.001854685,0.0008709786,0.01080573,0.002085873,0.0002518872,0.0001725271,0.04196371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02228468,"threshold_uncertainty_score":0.9969102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753388195460636,"score_gpt":0.3008304731344499,"score_spread":0.2632965911798436,"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."}}