{"id":"W1545879303","doi":"10.14778/2732219.2732221","title":"More is simpler","year":2013,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Leverage (statistics); Similarity (geometry); Computation; Theoretical computer science; Cluster analysis; Similarity measure; Artificial intelligence; Algorithm","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000698833,0.0001214035,0.000164659,0.0000373838,0.00007341194,0.00004651999,0.0003887184,0.00001631703,0.001705453],"category_scores_gemma":[0.000002727996,0.00007966469,0.0001784632,0.0001990204,0.00005046809,0.000117555,0.0002495022,0.00008957649,0.00003456799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002043138,"about_ca_system_score_gemma":0.00000752564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004012502,"about_ca_topic_score_gemma":3.482186e-7,"domain_scores_codex":[0.9992157,0.000002108995,0.0002123341,0.0001646417,0.000209385,0.0001958314],"domain_scores_gemma":[0.999478,0.00001212251,0.0001718564,0.0001378462,0.0001581133,0.00004205155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007267888,0.0002982535,0.308014,0.00004536957,0.0003780103,3.473733e-8,0.001578787,0.00001026767,0.07429141,0.08161047,0.5007457,0.03302038],"study_design_scores_gemma":[0.0005311068,0.00006474459,0.02704662,0.0001046425,0.0001844394,0.000001016859,0.001491598,0.001840404,0.7254332,0.1925927,0.0502546,0.0004548701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369289,0.00003506061,0.0001242212,0.002950371,0.0000440177,0.0006032503,0.00000699161,0.00006268462,0.05924454],"genre_scores_gemma":[0.997268,0.00000207459,0.001001419,0.0002066944,0.0001273346,0.0001201178,0.000001181005,0.00001233099,0.001260808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6511418,"threshold_uncertainty_score":0.9992071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007098670208723978,"score_gpt":0.2316398325702858,"score_spread":0.2245411623615618,"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."}}