{"id":"W1991781983","doi":"10.1111/j.1558-5646.2009.00902.x","title":"KIN-BASED RECOGNITION AND SOCIAL AGGREGATION IN A CILIATE","year":2009,"lang":"en","type":"article","venue":"Evolution","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"Centre National de la Recherche Scientifique; Fonds De La Recherche Scientifique - FNRS; Agence Nationale de la Recherche","keywords":"Biology; Kin recognition; Ephemeral key; Metapopulation; Cheating; Kin selection; Social evolution; Population; Ecology; Evolutionary biology; Demography; Biological dispersal","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":[0.0006579513,0.00005831856,0.0000655065,0.0001056187,0.000415457,0.00002986467,0.00003873902,0.00009613513,0.00006184235],"category_scores_gemma":[0.0000962186,0.00006822462,0.00002089825,0.0002674471,0.00009044901,0.0003533586,0.000003103443,0.00008083397,0.00004712115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895041,"about_ca_system_score_gemma":0.0001057449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003611525,"about_ca_topic_score_gemma":0.001385393,"domain_scores_codex":[0.999103,0.0003032652,0.0001304547,0.0001436089,0.0001637544,0.0001559276],"domain_scores_gemma":[0.9997805,0.00003369998,0.00004951852,0.00003822377,0.00007101267,0.00002709364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000564951,0.0004821545,0.01109631,0.00002481799,0.00000799751,0.000006824744,0.02709361,0.0004279477,0.005739715,0.4766058,0.0008268317,0.477123],"study_design_scores_gemma":[0.001691194,0.0002427122,0.5282009,0.00009501393,0.00002240083,0.000001696417,0.00286218,0.006233575,0.0003038357,0.4544385,0.005476456,0.0004315886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861596,0.0001550917,0.002439918,0.004388746,0.0001033101,0.0002155394,0.000005050626,0.00008853273,0.006444233],"genre_scores_gemma":[0.9991547,0.00001917927,0.000150541,0.0002527821,0.0001955309,0.00001017454,0.0000455155,0.000002605397,0.0001688958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5171046,"threshold_uncertainty_score":0.3195401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824457912779745,"score_gpt":0.2784408850894167,"score_spread":0.2501963059616193,"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."}}