{"id":"W4322765160","doi":"10.1109/lsens.2023.3250548","title":"IEEE Sensors Council","year":2023,"lang":"lv","type":"article","venue":"IEEE Sensors Letters","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008360186,0.0004684509,0.0003820462,0.0002995996,0.0002989153,0.000387808,0.0008764869,0.0001659911,0.0000356968],"category_scores_gemma":[0.0001433879,0.0005243375,0.0002393506,0.001508511,0.0001333993,0.0003270356,0.00008965438,0.0005008325,0.005343457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006046671,"about_ca_system_score_gemma":0.000388363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051322,"about_ca_topic_score_gemma":0.000008266206,"domain_scores_codex":[0.9959393,0.00009839779,0.0005138732,0.0008557496,0.00145944,0.001133308],"domain_scores_gemma":[0.9978233,0.0004411,0.0001411578,0.0009522576,0.0002870974,0.0003550875],"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":[0.000004455457,0.00003447978,0.00006995274,0.00008061209,0.00008541612,0.0002753058,0.003079275,0.6868119,0.04268907,0.0007058379,0.2658141,0.0003495313],"study_design_scores_gemma":[0.0006782354,0.00007575226,0.003625656,0.00026486,0.00007441067,0.0001327644,0.0003301802,0.8760324,0.006519233,0.0002159249,0.1104721,0.001578458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227828,0.00009680228,0.009586389,0.04481056,0.02071719,0.0002607007,0.00003491083,0.0005851571,0.001125457],"genre_scores_gemma":[0.9675806,0.0002709043,0.005767249,0.007016027,0.003478527,0.00002070171,0.00001636992,0.000151193,0.0156984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892204,"threshold_uncertainty_score":0.9997208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05472658989614277,"score_gpt":0.2442044409800493,"score_spread":0.1894778510839066,"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."}}