{"id":"W4388456631","doi":"10.1002/rsa.21197","title":"Sharp thresholds in adaptive random graph processes","year":2023,"lang":"en","type":"article","venue":"Random Structures and Algorithms","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; University of Toronto; National Science Foundation","keywords":"Mathematics; Random regular graph; Graph; Monotone polygon; Null graph; Combinatorics; Random graph; Line graph; Complement graph; Discrete mathematics; Voltage graph; Geometry; Pathwidth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005580222,0.0008998244,0.001528715,0.001886533,0.0009233289,0.003066425,0.001736804,0.002394449,0.004915385],"category_scores_gemma":[0.03557665,0.0006928196,0.001213864,0.0006092379,0.005382331,0.003810512,0.002522006,0.003362515,0.0004479241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747298,"about_ca_system_score_gemma":0.0008101958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002083942,"about_ca_topic_score_gemma":0.001279541,"domain_scores_codex":[0.9974492,0.0009774717,0.0001310569,0.0005673613,0.0004597784,0.0004150384],"domain_scores_gemma":[0.9665987,0.02511765,0.00309092,0.001646431,0.001561704,0.001984651],"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":[0.00009756822,0.0000443597,0.001191606,0.00009379653,0.00004779655,0.0002562156,0.0003456892,0.04451183,0.002857253,0.9457999,0.0007905366,0.003963558],"study_design_scores_gemma":[0.00005554933,0.00007728364,0.0006743618,0.00003823042,0.00002354989,0.00009744099,0.0001086981,0.3517019,0.001040752,0.6454169,0.0007276925,0.00003771266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3050963,0.0008655167,0.6697965,0.00178981,0.0001178926,0.0002118782,0.0002144698,0.0005487395,0.02135886],"genre_scores_gemma":[0.9765421,0.000203439,0.01928524,0.0002831369,0.00005464452,0.0001273325,0.000060716,0.00005010993,0.003393284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005580222,"threshold_uncertainty_score":0.02951133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224160680928744,"score_gpt":0.2887039899985048,"score_spread":0.2662879219056304,"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."}}