{"id":"W2982295803","doi":"10.14778/3364324.3364330","title":"LINC","year":2019,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Cluster analysis; Theoretical computer science; Graph; Algorithm; Data mining; Artificial intelligence","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":[0.000116351,0.0000901637,0.0001498586,0.00003251598,0.00003707792,0.00002149591,0.0003482012,0.00001297087,0.0005212972],"category_scores_gemma":[0.00000202673,0.00006048614,0.0001556244,0.0001749369,0.00002268632,0.00006116123,0.0002143361,0.00008468955,0.00003627761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001884316,"about_ca_system_score_gemma":0.000008512082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006808098,"about_ca_topic_score_gemma":3.320702e-7,"domain_scores_codex":[0.9993678,0.000002209792,0.000169879,0.000142072,0.0001753966,0.0001425902],"domain_scores_gemma":[0.9996026,0.00001263557,0.0001578935,0.0001224572,0.00008020697,0.00002418735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001503934,0.0001829142,0.5947813,0.00003887872,0.0002009125,2.079332e-8,0.0002761435,0.00002768902,0.07425597,0.3061601,0.01362715,0.01043392],"study_design_scores_gemma":[0.0008179353,0.000126612,0.01890974,0.0001945344,0.0001706319,9.725087e-7,0.0006294047,0.001556967,0.7830499,0.1303304,0.063784,0.0004289518],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479055,0.00002689722,0.00005899534,0.0002979058,0.00007467408,0.0003307241,0.000002722559,0.00003870571,0.1512638],"genre_scores_gemma":[0.9971005,0.000001620822,0.0007130739,0.00003469065,0.0001077223,0.00002357919,8.923303e-7,0.000009211873,0.002008719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7087939,"threshold_uncertainty_score":0.5707838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003710575606360767,"score_gpt":0.2046574659657718,"score_spread":0.2009468903594111,"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."}}