{"id":"W2591506968","doi":"10.1109/comst.2010.5415860","title":"First Quarter 2010 IEEE Communications Surveys and Tutorials","year":2010,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Quarter (Canadian coin); Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.01375095,0.000370206,0.0005117576,0.000270175,0.001180188,0.0006830251,0.006303867,0.0002815146,0.00003111657],"category_scores_gemma":[0.0009841882,0.0003935851,0.000128677,0.0007514694,0.0004959374,0.000909696,0.0009546823,0.0008396691,0.0001872887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008406485,"about_ca_system_score_gemma":0.0003291836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285098,"about_ca_topic_score_gemma":0.003742217,"domain_scores_codex":[0.9945728,0.002996235,0.0009388794,0.0005404562,0.0004375183,0.0005141096],"domain_scores_gemma":[0.9842489,0.005429928,0.0003336293,0.008974559,0.000697894,0.0003150915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008469739,0.002880667,0.02048132,0.0001834918,0.0006855638,0.000005565611,0.01063299,0.002505294,0.0997654,0.7629533,0.07190992,0.02798805],"study_design_scores_gemma":[0.002491139,0.0002362592,0.3410093,0.000237851,0.0001811866,0.0001069273,0.0002695778,0.06608623,0.003522214,0.02413311,0.5582226,0.003503668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04263756,0.002014325,0.8421139,0.02960103,0.07327864,0.00173513,0.0002590562,0.001217698,0.007142653],"genre_scores_gemma":[0.8989395,0.001046121,0.09781316,0.00009306223,0.001256486,0.0002148335,0.00009007159,0.00004844331,0.0004982809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.856302,"threshold_uncertainty_score":0.9998516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440299125855148,"score_gpt":0.3006796120407219,"score_spread":0.2462766207821704,"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."}}