{"id":"W2888883227","doi":"10.1007/s00265-018-2603-6","title":"Measuring the complexity of social associations using mixture models","year":2019,"lang":"en","type":"article","venue":"Behavioral Ecology and Sociobiology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"University of Exeter; Natural Environment Research Council; Sight Research UK","keywords":"Animal ecology; Overdispersion; Pairwise comparison; Context (archaeology); Social network (sociolinguistics); Statistics; Association (psychology); Poisson distribution; Computer science; Mathematics; Biology; Ecology; Psychology; Negative binomial distribution; Social media","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":[0.0002455596,0.00008941226,0.0002184215,0.000007475235,0.0004243899,0.000006841425,0.0001117427,0.0002821181,0.0001634197],"category_scores_gemma":[0.000005830594,0.00003417306,0.00008586678,0.00008183895,0.0005158926,0.00006363731,0.00007083958,0.0001841503,0.000005809689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002970279,"about_ca_system_score_gemma":0.00001071243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000281298,"about_ca_topic_score_gemma":0.000366211,"domain_scores_codex":[0.9991944,0.000173298,0.0001741607,0.000211376,0.00005432936,0.000192376],"domain_scores_gemma":[0.9996887,0.00005030714,0.0001304785,0.0000356001,0.00007396381,0.00002091149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002985204,0.0001637839,0.5173013,0.000003517742,0.00001814701,6.510261e-7,0.0008095521,0.00001033188,0.470519,0.009325696,0.0000554571,0.001762676],"study_design_scores_gemma":[0.0001071286,0.0001936811,0.9952062,0.000001118522,0.00004965861,0.000009959594,0.0009308337,0.00004761951,0.0004749855,0.002771833,0.0001170881,0.00008985963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983109,0.00005564401,0.000001311361,0.001042241,0.0002074366,0.000194524,0.00005195195,0.00002003491,0.0001159539],"genre_scores_gemma":[0.9996362,0.000006865104,0.00003713556,0.00006314879,0.00009924626,0.000005811862,0.00004449759,7.998667e-7,0.00010631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4779049,"threshold_uncertainty_score":0.3264107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1725292599957216,"score_gpt":0.3020534901951735,"score_spread":0.1295242301994519,"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."}}