{"id":"W4389160190","doi":"10.1109/jsen.2023.3333612","title":"IEEE Sensors Journal Publication Information","year":2023,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":2,"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","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":[0.000918432,0.001210229,0.001173912,0.003094237,0.0007472005,0.002805316,0.001255695,0.001809063,0.512504],"category_scores_gemma":[0.002261491,0.000511751,0.0005152996,0.002124738,0.0002975412,0.002624083,0.001081036,0.001475019,0.3978825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548189,"about_ca_system_score_gemma":0.001789145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298992,"about_ca_topic_score_gemma":0.002922123,"domain_scores_codex":[0.9993252,0.00005519376,0.0000380115,0.00007710976,0.0004469481,0.00005762183],"domain_scores_gemma":[0.9982756,0.0001443438,0.00007106084,0.0001834413,0.001132968,0.0001926086],"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":[0.00005857953,0.00005911831,0.0001114206,0.0002521302,0.000008428357,0.0000268741,0.000007303225,0.000132578,0.00110604,0.001087075,0.8542837,0.1428667],"study_design_scores_gemma":[0.00001765255,0.00004009339,0.0005044045,0.0001067366,0.0000160684,0.00007078204,0.00001433313,0.0005762156,0.001300812,0.001541918,0.9957976,0.00001334599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002581548,0.0160197,0.02129827,0.0117129,0.04905025,0.0008649461,0.01849321,0.006659443,0.8733198],"genre_scores_gemma":[0.005198509,0.008858442,0.003287441,0.001359309,0.00359256,0.0001645149,0.01361554,0.0007517105,0.9631719],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.487496,"threshold_uncertainty_score":0.6953538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955352647727459,"score_gpt":0.2642462273380826,"score_spread":0.224692700860808,"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."}}