{"id":"W4308795336","doi":"10.1109/jsen.2022.3218459","title":"IEEE Sensors Council","year":2022,"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":"McGill University","funders":"Politecnico di Torino; Auburn University; Oklahoma State University","keywords":"Computer science; Electrical engineering; Engineering","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","sts"],"consensus_categories":[],"category_scores_codex":[0.002107889,0.0003773045,0.0003743956,0.0002595311,0.001573125,0.000657944,0.00122648,0.00008919408,0.0008436144],"category_scores_gemma":[0.0001062548,0.0004180669,0.0003085418,0.0007626307,0.00007229715,0.0003833228,0.0001651459,0.001864509,0.0003043812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901817,"about_ca_system_score_gemma":0.002050019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004317038,"about_ca_topic_score_gemma":0.00000378614,"domain_scores_codex":[0.9950013,0.0002787527,0.0007195279,0.0005057559,0.002583421,0.0009112808],"domain_scores_gemma":[0.9975578,0.0002604194,0.000364061,0.0005705957,0.0006934787,0.0005536789],"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":[0.00001461757,0.0001587227,0.00009467352,0.00001993557,0.0001082508,0.0005021017,0.003955991,0.9186588,0.00196905,0.001269699,0.07230223,0.0009459504],"study_design_scores_gemma":[0.001032756,0.0004121643,0.0009909987,0.00009568312,0.00009350076,0.01219841,0.001577644,0.6720935,0.0007341343,0.001451146,0.3081679,0.001152144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870887,0.002227087,0.03852473,0.008925596,0.0706588,0.0002845707,0.00005952723,0.0001717211,0.008260959],"genre_scores_gemma":[0.9736332,0.0003944269,0.007632202,0.0007434263,0.003724032,0.000006812401,0.000001565919,0.00007414154,0.01379016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2465653,"threshold_uncertainty_score":0.9998271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05297423985569617,"score_gpt":0.2468347975213415,"score_spread":0.1938605576656454,"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."}}