{"id":"W1569810017","doi":"10.1109/icc.2005.1494327","title":"IDA* MCSP: a fast exact MCSP algorithm","year":2005,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Algorithm; Computer science; Path (computing); Routing (electronic design automation); Approximation algorithm; Mathematical optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003230044,0.0001951684,0.0001602509,0.0001236924,0.0001090519,0.0002288685,0.00123251,0.00004525262,0.0006895806],"category_scores_gemma":[0.000005868237,0.0001723222,0.00009296855,0.0004710538,0.00002791539,0.00054257,0.0005879982,0.0001210363,0.001886772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138313,"about_ca_system_score_gemma":0.00004005879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004673456,"about_ca_topic_score_gemma":0.0000409298,"domain_scores_codex":[0.9981878,0.00005966103,0.0002665299,0.0005604504,0.0004264679,0.000499128],"domain_scores_gemma":[0.9986472,0.00005011724,0.00007053272,0.001024368,0.00004055493,0.0001672967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.620799e-7,0.00007207655,0.00003273392,0.000003978957,0.00001916981,0.00002845604,0.00008400679,0.001993974,0.00002140328,0.01426894,0.06481279,0.9186615],"study_design_scores_gemma":[0.0003484259,0.00006352856,0.0004262758,0.000009443409,0.000006154662,0.00000836546,0.00001637953,0.6037834,0.0007848115,0.0003036238,0.3939973,0.0002523403],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004893627,0.0001128863,0.9442459,0.002526059,0.0003203668,0.0002903458,0.000001056614,0.0004993065,0.05151469],"genre_scores_gemma":[0.1865969,0.00006711544,0.7755283,0.009256502,0.0009055348,0.0001209776,0.000007267749,0.00003396985,0.02748342],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9184092,"threshold_uncertainty_score":0.9988904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008639148308796928,"score_gpt":0.2205883242200603,"score_spread":0.2119491759112634,"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."}}