{"id":"W2769638014","doi":"10.1007/978-3-319-72150-7_24","title":"Parallel Community Detection Methods for Sparse Complex Networks","year":2017,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Exploit; State (computer science); Artificial intelligence; Machine learning; Theoretical computer science; Data mining; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001254747,0.0004653198,0.0008616965,0.0001988976,0.0009633074,0.00007584182,0.000703478,0.000131755,0.0001460918],"category_scores_gemma":[0.00006389971,0.0004941097,0.0003996596,0.00004630801,0.0005863113,0.00008485981,0.000572979,0.0008790247,0.00001288264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689875,"about_ca_system_score_gemma":0.00004693594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001551063,"about_ca_topic_score_gemma":0.0002739167,"domain_scores_codex":[0.9980726,0.0001929049,0.0007742363,0.0004370202,0.0001806486,0.0003425663],"domain_scores_gemma":[0.995307,0.002775471,0.0006817086,0.000608884,0.000573496,0.00005343141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000424596,0.00005452086,0.00008818152,0.0000503997,0.0008072777,0.000001080563,0.0002993538,0.2643577,7.920522e-7,0.3176772,0.001481833,0.4151392],"study_design_scores_gemma":[0.00007740559,0.00006393708,0.00006951874,0.0001922542,0.00009378143,0.000001077543,0.0001330074,0.2459613,0.000009406371,0.7332984,0.0197374,0.0003625267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005135264,0.001049143,0.9388069,0.00005127375,0.0003322812,0.0006290598,0.0000376854,0.00006519306,0.05902333],"genre_scores_gemma":[0.4566596,0.0004480718,0.5130989,0.0001467314,0.001455374,0.0005040462,0.0007638737,0.0001374705,0.02678589],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4566545,"threshold_uncertainty_score":0.999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2562249323992188,"score_gpt":0.4743237760423162,"score_spread":0.2180988436430973,"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."}}