{"id":"W2102177865","doi":"10.5555/1838206.1838528","title":"Coalition detection and identification","year":2010,"lang":"en","type":"article","venue":"Adaptive Agents and Multi-Agents Systems","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Identification (biology); Computer science; Population; Internet privacy; Public relations; Data science; Computer security; Knowledge management; Political science; Sociology","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":[0.000399102,0.0001087818,0.0001329537,0.00005500207,0.000706804,0.0001579823,0.000068622,0.00009286345,0.00001867135],"category_scores_gemma":[0.00003424103,0.0001103868,0.00002451483,0.00005674735,0.0002248121,0.0003242287,0.0000529229,0.00009464508,0.00003225717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006496662,"about_ca_system_score_gemma":0.00001274978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089158,"about_ca_topic_score_gemma":0.004504797,"domain_scores_codex":[0.9990813,0.00009810101,0.0002172861,0.000282191,0.0001354463,0.0001856542],"domain_scores_gemma":[0.9995483,0.00002522317,0.0001371879,0.0001022931,0.00007250273,0.0001145163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001400767,0.001009939,0.2937653,0.000128715,0.000400239,0.00002257511,0.1153914,0.00001701803,0.4706861,0.06304174,0.001489116,0.05390782],"study_design_scores_gemma":[0.003120962,0.0002410321,0.7952189,0.00009915631,0.0001732588,0.00001846529,0.1150179,0.01253355,0.006828848,0.0004005634,0.06517117,0.001176192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951602,0.0002477203,0.0004545022,0.00006569707,0.001497946,0.0006135244,0.00002269928,0.0000481829,0.001889567],"genre_scores_gemma":[0.9979718,0.0002624255,0.0001175675,0.00002992503,0.0001197133,0.0000854741,0.00000555297,0.00001085758,0.001396622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5014536,"threshold_uncertainty_score":0.995695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07904217333949029,"score_gpt":0.3523602975403669,"score_spread":0.2733181242008766,"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."}}