{"id":"W4200151361","doi":"10.3389/fncir.2021.755093","title":"Using Flies to Understand Social Networks","year":2021,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Parallels; Social network analysis; Field (mathematics); Drosophila (subgenus); Drosophila melanogaster; Social group; Data science; Cognitive science; Biology; Psychology; Sociology; Computer science; Social psychology; Social science; Genetics; Social capital","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00012179,0.0003292286,0.0009129103,0.0001266746,0.0001729507,0.00003728945,0.0002462221,0.0007139881,0.00001679097],"category_scores_gemma":[0.00002337706,0.0003246117,0.000344491,0.000264889,0.00007224862,0.000003882815,0.0001299292,0.0003579169,0.00000232917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008209979,"about_ca_system_score_gemma":0.0001503382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002492496,"about_ca_topic_score_gemma":0.00002003406,"domain_scores_codex":[0.9984533,0.0001790307,0.0003457171,0.0004997862,0.00008365394,0.0004384839],"domain_scores_gemma":[0.9995757,0.000007861557,0.0001149744,0.000200503,0.00003055389,0.00007044728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001089749,0.00007939708,0.0004321897,0.0008963756,0.0001478675,0.0001385744,0.0001005228,0.0001292595,0.0001493504,0.00002282243,0.02016206,0.9777307],"study_design_scores_gemma":[0.0005268183,0.0001998624,0.00008412301,0.001498945,0.0007441392,0.0001680795,0.000367755,0.0001274001,0.00007428609,0.00002070758,0.9947563,0.001431603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001697276,0.9931861,0.002318662,0.00001024408,0.002243122,0.0003765732,0.00002666753,0.000009967719,0.0001313494],"genre_scores_gemma":[0.004752289,0.9927568,0.0001981022,0.0002351369,0.00103586,0.00003306002,0.0004134556,0.00006223631,0.0005130885],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9762991,"threshold_uncertainty_score":0.9999206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08294095677817079,"score_gpt":0.3432836871690128,"score_spread":0.260342730390842,"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."}}