{"id":"W2169548945","doi":"10.1209/0295-5075/98/16001","title":"Exact solution of bond percolation on small arbitrary graphs","year":2012,"lang":"en","type":"article","venue":"Europhysics Letters (EPL)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Random graph; Percolation (cognitive psychology); Mathematics; Percolation theory; Continuum percolation theory; Graph theory; Indifference graph; Combinatorics; Chordal graph; Graph; Discrete mathematics; Percolation critical exponents; Topology (electrical circuits); Geometry; Critical exponent","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":[],"consensus_categories":[],"category_scores_codex":[0.0001360782,0.0002053973,0.0002423266,0.0001195016,0.00009968396,0.00002441795,0.0001733004,0.00002480043,0.00006254271],"category_scores_gemma":[0.000002253812,0.0002109181,0.0002519492,0.0003344124,0.00006025366,0.00021261,0.00005698518,0.000226159,0.0000469789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002641758,"about_ca_system_score_gemma":0.00001032861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008664729,"about_ca_topic_score_gemma":6.249187e-7,"domain_scores_codex":[0.9988746,0.0000903806,0.0002708438,0.0002268632,0.0002066457,0.0003306821],"domain_scores_gemma":[0.9992003,0.0000708777,0.0002068254,0.0004080908,0.00004021342,0.00007369992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008798556,0.001250727,0.1334811,0.00004715731,0.0004038685,0.000002785396,0.001095796,0.0004773296,0.5971067,0.21281,0.02066414,0.03257242],"study_design_scores_gemma":[0.002775311,0.000891263,0.4736893,0.0004596924,0.001255158,0.000003501319,0.0002752165,0.0125622,0.3924131,0.08185725,0.0299998,0.003818125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559032,0.00002565726,0.03567582,0.000241613,0.0001271171,0.0001736106,0.00001220458,0.00008228004,0.007758462],"genre_scores_gemma":[0.9960335,0.000001803058,0.00261738,0.0004727566,0.0007124745,0.00001370606,0.00007857363,0.0000369517,0.00003288141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3402083,"threshold_uncertainty_score":0.860099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549396458956745,"score_gpt":0.229554599824339,"score_spread":0.2140606352347715,"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."}}