{"id":"W2805309537","doi":"10.1002/rsa.20760","title":"The stripping process can be slow: Part I","year":2018,"lang":"en","type":"article","venue":"Random Structures and Algorithms","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hypergraph; Combinatorics; Vertex (graph theory); Mathematics; Constant (computer programming); Integer (computer science); Stripping (fiber); Degree (music); Upper and lower bounds; Discrete mathematics; Physics; Computer science; Mathematical analysis; Graph; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002741509,0.0001851483,0.0002692526,0.00002159809,0.0006761642,0.0001453038,0.0001888282,0.00007409324,0.00005301766],"category_scores_gemma":[0.001117375,0.0001062872,0.00004380246,0.000118569,0.0002023337,0.00003804935,0.00005374443,0.0001553881,0.000001162439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117006,"about_ca_system_score_gemma":0.0000480728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001325865,"about_ca_topic_score_gemma":0.00003684447,"domain_scores_codex":[0.9988009,0.00003285529,0.0002764416,0.000256471,0.0002796284,0.0003536844],"domain_scores_gemma":[0.9985124,0.0008963594,0.0001077237,0.0002009291,0.0001583288,0.0001241942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003750545,0.00002584971,0.00001036235,0.0002203834,0.0001493658,0.00001391812,0.00164358,0.000002228916,0.00008296062,0.7887754,0.004752596,0.2039482],"study_design_scores_gemma":[0.002150775,0.0001506468,0.00002628278,0.00004520583,0.00006681315,0.00004446052,0.0005404935,0.01087755,0.0007698477,0.9790031,0.006113406,0.0002113691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06534093,0.001928846,0.9210867,0.003469123,0.002823071,0.001496779,0.0003681097,0.0003053775,0.003181015],"genre_scores_gemma":[0.9791954,0.0002173993,0.0176049,0.0005153863,0.00168263,0.00006603311,0.000009254935,0.00005234755,0.0006567081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9138544,"threshold_uncertainty_score":0.5200576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03176608976674083,"score_gpt":0.3183951669337252,"score_spread":0.2866290771669843,"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."}}