{"id":"W3119797891","doi":"10.1111/1365-2656.13400","title":"Social environment: Trait, context and agent for selection in a meta‐population","year":2021,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Trait; Biology; Selection (genetic algorithm); Population; Context (archaeology); Natural selection; Sexual selection; Social network (sociolinguistics); Ecology; Social evolution; Evolutionary biology; Demography; Sociology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001984988,0.0002989874,0.0006462683,0.0006514167,0.000665781,0.00160938,0.0006701001,0.0006068977,0.002524891],"category_scores_gemma":[0.003046546,0.0002595153,0.0008470051,0.0004774031,0.0008262966,0.001088839,0.001168454,0.0008192979,0.0002097345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005537886,"about_ca_system_score_gemma":0.0003678123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003776495,"about_ca_topic_score_gemma":0.008189928,"domain_scores_codex":[0.9992685,0.0004113237,0.0000217538,0.0002114922,0.00004903221,0.00003780066],"domain_scores_gemma":[0.9987866,0.0006215138,0.000127451,0.0002352994,0.0001014323,0.0001277414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004560726,0.0003265809,0.8434252,0.0003372018,0.007728197,0.001243056,0.003252503,0.01931646,0.03998792,0.02835396,0.001784052,0.05378886],"study_design_scores_gemma":[0.00008541544,0.0006671421,0.7797158,0.0001411987,0.003558808,0.001040073,0.004403562,0.1591585,0.002325862,0.04216609,0.006510225,0.0002273203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812467,0.0007322147,0.01492643,0.0006673179,0.00003960036,0.00002570169,0.0002620385,0.00006499822,0.002034999],"genre_scores_gemma":[0.9954934,0.0001446041,0.003789875,0.00009515972,0.000009168136,0.00001631692,0.00006954476,0.00001463733,0.0003673382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003776495,"threshold_uncertainty_score":0.01049775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338740168824842,"score_gpt":0.2778520300545678,"score_spread":0.2544646283663193,"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."}}