{"id":"W4379649946","doi":"10.1109/miot.2023.10145026","title":"Call for Papers","year":2023,"lang":"en","type":"paratext","venue":"IEEE Internet of Things Magazine","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002422238,0.0002820297,0.0004195104,0.000231224,0.00001631189,0.00003644651,0.0003096494,0.0003162839,0.02945927],"category_scores_gemma":[0.00004707979,0.000293749,0.0002251434,0.00008227675,0.00004340853,0.00009320912,0.00002537645,0.0002955801,0.1284066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409197,"about_ca_system_score_gemma":0.0000233135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004499072,"about_ca_topic_score_gemma":0.00001837451,"domain_scores_codex":[0.9987646,0.0000183643,0.000473781,0.0002445028,0.0002578072,0.0002409837],"domain_scores_gemma":[0.9993684,0.00007991449,0.0001396401,0.0002392356,0.0001090789,0.00006369982],"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":[0.00001528752,0.000009033191,2.481929e-7,0.0007389663,0.0001041476,7.924497e-7,0.0006631424,0.005698859,0.01547896,0.000002309215,0.9750499,0.002238403],"study_design_scores_gemma":[0.0003560385,0.00008244156,0.00003554178,0.0003780001,0.00005548264,0.00000172606,0.00001274436,0.03589986,0.001743538,0.00002841238,0.9610952,0.0003110224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006460441,0.0003716529,0.01786659,0.0001984107,0.06032832,0.001172551,0.0003240715,0.001015729,0.9122623],"genre_scores_gemma":[0.009365986,0.0002489454,0.0004526165,0.000155733,0.001579514,0.0001005829,0.0005561349,0.0001842716,0.9873562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09894729,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110797338809316,"score_gpt":0.2846184766573242,"score_spread":0.253510503269231,"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."}}