{"id":"W3005197571","doi":"10.1016/j.future.2020.02.023","title":"Diversified top-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" id=\"d1e545\" altimg=\"si6.svg\"><mml:mi>k</mml:mi></mml:math> maximal clique detection in Social Internet of Things","year":2020,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Clique; Relation (database); Equivalence relation; Equivalence (formal languages); Graph; Scalability; Theoretical computer science; Algorithm; Data mining; Database; Discrete mathematics; Mathematics; Combinatorics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000275272,0.0002152996,0.0002433015,0.00008300464,0.000196121,0.0002201468,0.0003029989,0.0002124714,0.00001923329],"category_scores_gemma":[0.000005021853,0.0002514283,0.0002650859,0.0002381841,0.00004352218,0.0002762293,0.0002696576,0.0003080424,0.00004958329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001979008,"about_ca_system_score_gemma":0.00006341099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005347327,"about_ca_topic_score_gemma":0.00007884586,"domain_scores_codex":[0.9983283,0.0001330764,0.0005636016,0.0004120663,0.0003170553,0.000245856],"domain_scores_gemma":[0.999087,0.00004514579,0.0004559417,0.0002555411,0.00007546069,0.00008091283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005872892,0.00005602563,0.0001046749,0.00009428609,0.0001785781,0.000009228384,0.002467646,0.001876721,0.001646955,0.9825925,0.007182994,0.003731618],"study_design_scores_gemma":[0.0003051299,0.0001619178,0.00007467758,0.00006326829,0.00006734551,0.00000648044,0.0002784794,0.985589,0.005037866,0.00003686459,0.008180678,0.0001982676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7489508,0.00006198922,0.2482648,0.0002034271,0.002116047,0.00007699125,0.00002060497,0.00008593529,0.0002193789],"genre_scores_gemma":[0.9760788,0.000005657024,0.002691794,0.0002337538,0.02050928,0.00008048846,0.0003434127,0.000037393,0.00001943064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9837123,"threshold_uncertainty_score":0.9999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706511292415001,"score_gpt":0.231583392614762,"score_spread":0.214518279690612,"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."}}