{"id":"W2105130730","doi":"10.1109/ccece.1993.332372","title":"An efficient distributed cycle/knot detection algorithm","year":2002,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Knot (papermaking); Computation; Computer science; Algorithm; Node (physics); Running time; Graph; Theoretical computer science","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":[0.0005849417,0.0008112183,0.001210133,0.001593485,0.0009630012,0.001246813,0.002244418,0.001117476,0.007017246],"category_scores_gemma":[0.002507144,0.0004739449,0.0005473541,0.001844758,0.000590038,0.001859061,0.001918601,0.0008736506,0.001892346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085386,"about_ca_system_score_gemma":0.002010058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003863617,"about_ca_topic_score_gemma":0.004028847,"domain_scores_codex":[0.9993032,0.00007717428,0.00004525671,0.0002041613,0.0002498604,0.000120368],"domain_scores_gemma":[0.9989931,0.0002818978,0.00008691444,0.0002041937,0.0003564396,0.00007738925],"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":[0.0004859688,0.0001765605,0.001269709,0.000217999,0.00005422535,0.0001757647,0.0001597789,0.2606694,0.01586277,0.04231253,0.01280964,0.6658057],"study_design_scores_gemma":[0.0001158135,0.00006147409,0.000183196,0.000014602,0.00001593207,0.0001097647,0.00003110246,0.960761,0.005290109,0.02634701,0.007049418,0.00002065146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01309222,0.0001749151,0.9813461,0.0001354833,0.00005803977,0.0001165646,0.0001450886,0.002097124,0.00283449],"genre_scores_gemma":[0.1318827,0.0001574583,0.8601044,0.00009790583,0.00003748362,0.0002030925,0.0006499792,0.0002288291,0.006638183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007017246,"threshold_uncertainty_score":0.02347505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151695308968185,"score_gpt":0.2359243284979647,"score_spread":0.2244073754082829,"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."}}