{"id":"W4391380722","doi":"10.1109/jsen.2024.3355831","title":"IEEE Sensors Journal Publication Information","year":2024,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Korea Advanced Institute of Science and Technology; Imperial College London; Jamia Millia Islamia; Kent State University; Université Laval","keywords":"Computer science; Data science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000924128,0.001211181,0.001163244,0.003098532,0.0007490749,0.002792388,0.001256937,0.001813896,0.5108905],"category_scores_gemma":[0.00227713,0.0005126807,0.0005152327,0.002122224,0.0002979485,0.002618789,0.001078796,0.001474744,0.3941903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609352,"about_ca_system_score_gemma":0.001799273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321222,"about_ca_topic_score_gemma":0.002948866,"domain_scores_codex":[0.9993212,0.0000557339,0.00003835824,0.00007740957,0.0004491928,0.00005802963],"domain_scores_gemma":[0.9982703,0.0001455063,0.00007141659,0.0001849255,0.001137774,0.0001900737],"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":[0.00005956802,0.00005916073,0.0001125011,0.0002558276,0.000008521328,0.00002715073,0.000007380766,0.000134455,0.001131303,0.001111333,0.8530945,0.1439983],"study_design_scores_gemma":[0.00001766235,0.00003964572,0.0005017447,0.0001060141,0.00001608224,0.00007082505,0.00001423862,0.0005773441,0.001322774,0.001551977,0.9957682,0.00001340368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002622097,0.01622715,0.0218409,0.01185028,0.04891009,0.0008695588,0.01909167,0.006789384,0.8717988],"genre_scores_gemma":[0.00535781,0.009045155,0.003409314,0.001378157,0.003624406,0.0001686037,0.01415807,0.0007684129,0.96209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4891095,"threshold_uncertainty_score":0.6976553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923313521882639,"score_gpt":0.2606432924956383,"score_spread":0.2314101572768119,"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."}}