{"id":"W4396891802","doi":"10.1364/ofc.2024.tu2a.3","title":"Liquid Cooling for Optical Networking Equipment","year":2024,"lang":"en","type":"article","venue":"","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Computer cooling; Computer science; Networking hardware; Optical networking; Optoelectronics; Materials science; Wavelength-division multiplexing; Computer network; Thermal management of electronic devices and systems; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003092068,0.0003595498,0.0002643389,0.0003966988,0.0006946923,0.0009768788,0.0005686325,0.000432527,0.009517782],"category_scores_gemma":[0.0005030461,0.0001830052,0.000188112,0.0003336809,0.0004963349,0.001299908,0.0009079276,0.0007229549,0.002076247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008825379,"about_ca_system_score_gemma":0.0007564707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009207096,"about_ca_topic_score_gemma":0.001114822,"domain_scores_codex":[0.9996043,0.00007222903,0.00001066884,0.00004679575,0.0002155505,0.00005039289],"domain_scores_gemma":[0.999833,0.00005055423,0.00003308151,0.00002053603,0.0000487992,0.00001396501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006414551,0.000100614,0.001020692,0.001135978,0.00002482242,0.0004388528,0.0002989227,0.01016327,0.6706257,0.07000741,0.02069617,0.2248462],"study_design_scores_gemma":[0.00006444372,0.0006857203,0.001137667,0.0004557106,0.00004208248,0.0007631691,0.000183956,0.04108705,0.493998,0.009475009,0.4520415,0.00006559417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2151309,0.03973942,0.508004,0.00696214,0.00299897,0.0005800511,0.0006841845,0.004693602,0.2212068],"genre_scores_gemma":[0.8171965,0.007758081,0.08354682,0.001084715,0.0007087623,0.0003125218,0.0003661288,0.0006968924,0.0883295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009517782,"threshold_uncertainty_score":0.03184021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090155192951458,"score_gpt":0.2526735566053154,"score_spread":0.2317720046758008,"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."}}