{"id":"W2041835352","doi":"10.1145/945721.945722","title":"Analysis of SIGMOD's co-authorship graph","year":2003,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graph; Information retrieval; Theoretical computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004807494,0.0002307631,0.0006578331,0.0005937535,0.00009567934,0.00003366883,0.0005299647,0.00007084545,0.00311633],"category_scores_gemma":[0.00005681327,0.0002228312,0.0007460293,0.002211042,0.00007841563,0.00009280713,0.00007264839,0.0002051523,0.00001939143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000203622,"about_ca_system_score_gemma":0.00003568141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004267454,"about_ca_topic_score_gemma":0.0000724631,"domain_scores_codex":[0.9982873,0.000218726,0.0004972179,0.0004100666,0.0002421434,0.0003445396],"domain_scores_gemma":[0.9979818,0.0003132996,0.0002983851,0.001176627,0.000114513,0.0001154074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001913206,0.0002424784,0.9166691,0.000007391097,0.003500434,0.000001475166,0.0001821412,0.0004229863,0.001305394,0.03366781,0.00376384,0.04021783],"study_design_scores_gemma":[0.001690059,0.0005623291,0.1053426,0.0001007946,0.01452593,0.000001594395,0.000791322,0.01223651,0.06249532,0.7069401,0.09244139,0.002872037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880239,0.0001026903,0.07397047,0.00006381906,0.00009474787,0.0002268277,0.00003774348,0.0001235099,0.03735631],"genre_scores_gemma":[0.9918146,0.000008360932,0.007352605,0.00002800807,0.00008361217,0.00003247668,0.00008838088,0.00002452814,0.0005674459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8113265,"threshold_uncertainty_score":0.997795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584356087544954,"score_gpt":0.3026211155237821,"score_spread":0.2767775546483325,"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."}}