{"id":"W4200249751","doi":"10.1109/jsen.2021.3136041","title":"IEEE Sensors Council","year":2021,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Cheng Kung University; Technische Universiteit Delft; École Polytechnique Fédérale de Lausanne; University of Glasgow; Universidad de Navarra; Auburn University; Imperial College London; University of Limerick; Politecnico di Torino; Budapesti Műszaki és Gazdaságtudományi Egyetem","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00114621,0.0003989753,0.0004271587,0.0001448338,0.0005473641,0.001151054,0.000689762,0.000202397,0.0003709374],"category_scores_gemma":[0.0002926175,0.0004218336,0.0003372695,0.0007147237,0.00007958939,0.0004897272,0.00007240059,0.001216659,0.0007072723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008849734,"about_ca_system_score_gemma":0.003300954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001882706,"about_ca_topic_score_gemma":0.00001151825,"domain_scores_codex":[0.9958558,0.0001891498,0.0007402508,0.0005520621,0.001764311,0.0008984456],"domain_scores_gemma":[0.995955,0.0002985566,0.0002763843,0.0006497927,0.002134947,0.0006852596],"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":[0.00001313714,0.00030965,0.0002434482,0.00008885284,0.0003218199,0.003287065,0.005008543,0.8811223,0.01626314,0.003225127,0.08716161,0.002955321],"study_design_scores_gemma":[0.00192594,0.0002474721,0.003611741,0.0009515146,0.0002411444,0.03169384,0.001562686,0.664532,0.02273085,0.003131857,0.2671101,0.00226089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952443,0.004880452,0.1092741,0.01186281,0.06398317,0.0001635179,0.00002726001,0.0001544567,0.01440999],"genre_scores_gemma":[0.9248736,0.00256882,0.03594977,0.00102693,0.008124233,0.000002008696,0.000002275016,0.00009795758,0.02735441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2165903,"threshold_uncertainty_score":0.9998859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666958762305296,"score_gpt":0.2558048984852377,"score_spread":0.1991353108621848,"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."}}