{"id":"W4415324652","doi":"10.1007/s00040-025-01067-5","title":"From gene regulatory networks to social networks: integrative sociogenomics from single cell to superorganism","year":2025,"lang":"en","type":"article","venue":"Insectes Sociaux","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social network (sociolinguistics); Gene regulatory network; Social network analysis; Key (lock); Social relation; Association (psychology); Mechanism (biology); Systems biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005401421,0.0002758637,0.000522242,0.001266567,0.0003277842,0.001353879,0.000572552,0.0005233301,0.001298778],"category_scores_gemma":[0.001310129,0.0002361953,0.000347322,0.001016859,0.001253356,0.002171734,0.0009106662,0.001107892,0.0001944515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007195323,"about_ca_system_score_gemma":0.000394287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182304,"about_ca_topic_score_gemma":0.002508751,"domain_scores_codex":[0.9998205,0.00006814464,0.000004518143,0.00005921141,0.00003133779,0.00001626047],"domain_scores_gemma":[0.9990355,0.0005189601,0.0001284118,0.0001308903,0.000063946,0.0001223472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002239743,0.0002682559,0.08000433,0.001295707,0.0006590833,0.0004422469,0.0044071,0.08305721,0.1726891,0.3700365,0.005808328,0.2811082],"study_design_scores_gemma":[0.00001902483,0.0001213531,0.1382005,0.0001505233,0.0001290235,0.0002282365,0.002729668,0.2092787,0.009875366,0.6222661,0.01690715,0.00009421454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6780847,0.01083793,0.2924216,0.004581147,0.0001430368,0.00005372589,0.001765961,0.0005201046,0.01159173],"genre_scores_gemma":[0.959878,0.004460238,0.03310163,0.000549388,0.0001224588,0.00007987775,0.0004828513,0.0000847671,0.0012408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002182304,"threshold_uncertainty_score":0.005220592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008679221947576822,"score_gpt":0.2433369655295538,"score_spread":0.234657743581977,"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."}}