{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004694056,0.0006493378,0.0006113789,0.002318945,0.001421205,0.006713959,0.001656802,0.0008101037,0.000382746],"category_scores_gemma":[0.0005861055,0.0005824263,0.0005920738,0.001819524,0.0002496481,0.007273829,0.00003665113,0.003805364,0.00465077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008122161,"about_ca_system_score_gemma":0.0008855656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001640391,"about_ca_topic_score_gemma":0.000003589732,"domain_scores_codex":[0.9930624,0.0007952551,0.002234285,0.0005675245,0.002041366,0.001299105],"domain_scores_gemma":[0.9950451,0.0002315706,0.001227063,0.0008779006,0.001905075,0.0007132962],"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":[0.0001138464,0.0002267025,0.000523025,0.0003958067,0.001148084,0.001538733,0.01142439,0.005871456,0.03381912,0.005439664,0.8365298,0.1029694],"study_design_scores_gemma":[0.002086297,0.0007303949,0.0009923378,0.002148848,0.0003913626,0.0995696,0.001842403,0.1195498,0.05652886,0.002830232,0.7116241,0.001705762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5725119,0.006584065,0.2159489,0.04854566,0.1363659,0.001332736,0.00006178227,0.001856627,0.01679238],"genre_scores_gemma":[0.9832346,0.001651795,0.002143487,0.0008957989,0.00580266,0.000007625022,0.000006118741,0.00006748081,0.006190428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4107227,"threshold_uncertainty_score":0.9998788,"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."}}