{"id":"W30024762","doi":"10.1021/acs.jpclett.8b02079","title":"DESIGN AND EVALUATION OF A SIMULATOR FOR SUBJECTS ABOUT OPTICAL NETWORKS","year":2014,"lang":"en","type":"article","venue":"ICERI2014 Proceedings","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Division of Molecular and Cellular Biosciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alberta Innovates - Technology Futures; Research Corporation for Scientific Advancement","keywords":"Computer science; Simulation; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105263,0.0007216429,0.0005344345,0.0004433625,0.0005020287,0.0008762426,0.001821218,0.0009972032,0.008652415],"category_scores_gemma":[0.003605763,0.0003071141,0.0003636594,0.0002280522,0.0004416971,0.000713441,0.0007577932,0.0005879158,0.001062331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296793,"about_ca_system_score_gemma":0.001497905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005214508,"about_ca_topic_score_gemma":0.003758299,"domain_scores_codex":[0.9996405,0.0001350448,0.00001703428,0.00006552163,0.00009377693,0.00004813317],"domain_scores_gemma":[0.9987102,0.0006869098,0.00006639222,0.0001142886,0.0003207499,0.0001014656],"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":[0.0003364414,0.0001334264,0.001570176,0.00007298519,0.0000409413,0.00008907776,0.00005139373,0.9550856,0.006456543,0.007357163,0.001800933,0.02700531],"study_design_scores_gemma":[0.0000164527,0.00002931814,0.00002636307,0.000001789157,0.000003792141,0.000003894993,0.000006218331,0.9977124,0.001025139,0.0005497225,0.0006230744,0.000001864514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1091265,0.0001680911,0.8688849,0.0005347196,0.0002175573,0.000627454,0.0005937692,0.007740457,0.01210657],"genre_scores_gemma":[0.7825958,0.0001347629,0.2089493,0.0002169279,0.00002453371,0.000793618,0.0005888561,0.0004999886,0.006196167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008652415,"threshold_uncertainty_score":0.02894521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961463747742487,"score_gpt":0.2574029953617099,"score_spread":0.237788357884285,"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."}}