{"id":"W1600072790","doi":"","title":"Algorithms and Models for the Web-Graph: Fourth International Workshop, WAW 2006, Banff, Canada, November 30 - December 1, 2006. Revised Papers","year":2007,"lang":"en","type":"book","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"PageRank; Computer science; Information retrieval; Graph; Data mining; Clustering coefficient; Cluster analysis; Link analysis; Heuristics; Theoretical computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001355967,0.00167215,0.001625218,0.002036427,0.001247225,0.007086353,0.003407255,0.001946872,0.03234856],"category_scores_gemma":[0.004083789,0.00153471,0.001496764,0.004462273,0.001578917,0.007529825,0.00146547,0.003224611,0.01245679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006464629,"about_ca_system_score_gemma":0.003937658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03594524,"about_ca_topic_score_gemma":0.06782827,"domain_scores_codex":[0.9991999,0.0001523737,0.000047241,0.0002218556,0.0003001706,0.00007843976],"domain_scores_gemma":[0.9977872,0.001030563,0.00009344263,0.0004542633,0.0004945638,0.0001397948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009147418,0.0001112438,0.000546704,0.0006664266,0.00005265449,0.0001337668,0.00024996,0.02554591,0.001215186,0.3059654,0.4513168,0.2141045],"study_design_scores_gemma":[0.00004677591,0.00003470098,0.0006744674,0.0002924347,0.00004672392,0.0004361684,0.0002221162,0.1049495,0.001541588,0.560562,0.3311319,0.00006156074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005673816,0.02464687,0.8648663,0.01092561,0.002187367,0.0002689677,0.007587638,0.007272514,0.07657087],"genre_scores_gemma":[0.07366274,0.0394078,0.5976655,0.001532589,0.001243113,0.000732778,0.02108987,0.004649574,0.2600161],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9640548,"threshold_uncertainty_score":0.1082166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687335748075888,"score_gpt":0.2329552184324271,"score_spread":0.2160818609516682,"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."}}