{"id":"W4394805713","doi":"10.1109/jsen.2024.3384075","title":"IEEE Sensors Council","year":2024,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Bordeaux; Universidad Pública de Navarra; University of Derby; McGill University; Baylor University","keywords":"Computer science; Electrical engineering; Engineering","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001549894,0.0004257956,0.0003532893,0.0003041644,0.0004177357,0.002267116,0.0007746476,0.0001985012,0.0002552654],"category_scores_gemma":[0.0001162632,0.0004059566,0.0003506894,0.0007726333,0.00009000729,0.0006884456,0.00005021567,0.001463651,0.001706604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101673,"about_ca_system_score_gemma":0.002209756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002729959,"about_ca_topic_score_gemma":0.000005004282,"domain_scores_codex":[0.9960566,0.0001119204,0.0007025966,0.0005653636,0.001691001,0.0008725434],"domain_scores_gemma":[0.9976779,0.0003732255,0.0001328664,0.000474195,0.0007363755,0.0006054399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001145302,0.00012553,0.00004535303,0.0002360112,0.0003965057,0.00234428,0.007682868,0.773367,0.00600057,0.007929607,0.1949363,0.006924456],"study_design_scores_gemma":[0.0002578544,0.0001218522,0.0002753903,0.0007904078,0.00009524287,0.006705233,0.0002347713,0.7905921,0.001158979,0.001690477,0.1973671,0.0007106138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5681657,0.01657024,0.2178642,0.01622874,0.1625206,0.0003363569,0.0000472633,0.0005898672,0.01767711],"genre_scores_gemma":[0.9565449,0.002080156,0.01126239,0.0003468105,0.009497902,0.000002311164,9.651392e-7,0.0001003062,0.0201642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3883793,"threshold_uncertainty_score":0.9998392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05348633694374449,"score_gpt":0.2656021839482433,"score_spread":0.2121158470044988,"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."}}