{"id":"W2983102629","doi":"10.5281/zenodo.1005021","title":"An Application-Aware Sdn Controller For Hybrid Optical-Electrical Dc Networks","year":2017,"lang":"en","type":"article","venue":"GoeScholar  The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen)","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"European Commission","keywords":"Computer science; Optical switch; Controller (irrigation); Computer network; Electronic 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","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002013139,0.001253428,0.001286366,0.0005586664,0.004106855,0.0008568258,0.009508348,0.001020739,0.0004307631],"category_scores_gemma":[0.0009596651,0.001112239,0.0009718987,0.001497166,0.001323898,0.008591439,0.00220316,0.002325539,0.0001875898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044154,"about_ca_system_score_gemma":0.0002310126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278048,"about_ca_topic_score_gemma":0.0001096139,"domain_scores_codex":[0.9932209,0.0003880004,0.001314803,0.001703405,0.001216339,0.002156558],"domain_scores_gemma":[0.9895401,0.0009698413,0.001571374,0.005453734,0.001785622,0.0006793495],"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":[0.004601567,0.002634437,0.02786348,0.001430155,0.009019575,0.0001115895,0.001788465,0.3588388,0.02517935,0.2570481,0.1209606,0.1905238],"study_design_scores_gemma":[0.01074303,0.0006944569,0.02397743,0.0003397804,0.002695986,0.0001324293,0.0043768,0.463946,0.01087514,0.01635725,0.4613354,0.004526251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4591316,0.002903744,0.4220448,0.01786091,0.003213054,0.01337183,0.000809863,0.00729765,0.07336657],"genre_scores_gemma":[0.9779226,0.0002899121,0.00742346,0.0004207934,0.0007081938,0.0001558881,0.0002802307,0.0003194567,0.01247949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.518791,"threshold_uncertainty_score":0.9999762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008931272435636312,"score_gpt":0.2201224779586825,"score_spread":0.2111912055230462,"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."}}