{"id":"W2609805035","doi":"","title":"Design of Multi-Granularity Directed Segment \\(p\\)-Cycles","year":2010,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Spare part; Wavelength-division multiplexing; Granularity; Computer science; Node (physics); Multiplexing; Distributed computing; Engineering; Mathematical optimization; Wavelength; Telecommunications; Mathematics","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":[0.0002787245,0.0004119105,0.0002853057,0.0003662581,0.0002367151,0.0003478628,0.0006282153,0.0003047681,0.00148865],"category_scores_gemma":[0.0005224865,0.000248016,0.0002714215,0.000321683,0.0002486622,0.0003585012,0.0003508255,0.0002462319,0.0001494003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004876465,"about_ca_system_score_gemma":0.0005685558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008367207,"about_ca_topic_score_gemma":0.001316522,"domain_scores_codex":[0.9998449,0.00005132124,0.000007765881,0.00002846884,0.00003635381,0.00003117062],"domain_scores_gemma":[0.9997515,0.00008186109,0.00006211244,0.00002756328,0.0000540117,0.0000229318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001222846,0.00004896792,0.0009515406,0.0001323298,0.00002574126,0.0001071896,0.000062728,0.8818944,0.02390778,0.01504003,0.0008275548,0.07687936],"study_design_scores_gemma":[0.00002005358,0.0001448741,0.0002177779,0.000009405676,0.00001145674,0.00004219293,0.00001727166,0.9852165,0.007826359,0.004405458,0.002082443,0.000006222846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1562406,0.0002796677,0.8371843,0.0001079775,0.00002377205,0.0001118124,0.00009554069,0.0002606069,0.005695782],"genre_scores_gemma":[0.8532078,0.0001479725,0.1447743,0.00004341423,0.000007156502,0.0001395478,0.00009339658,0.00005057798,0.001535878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00148865,"threshold_uncertainty_score":0.004980028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057840392817607,"score_gpt":0.2116247042119604,"score_spread":0.2010463002837843,"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."}}