{"id":"W4294845640","doi":"10.1093/beheco/arac082","title":"Personality-mediated speed-accuracy tradeoffs in mating in a 17-year periodical cicada","year":2022,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mating; Boldness; Personality; Biology; Sexual selection; Behavioral syndrome; Mate choice; Competition (biology); Reproductive success; Big Five personality traits; Sexual behavior; Selection (genetic algorithm); Ecology; Social psychology; Demography; Psychology; Population; Artificial intelligence; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000474472,0.0001348746,0.0002440493,0.00004109482,0.0002851434,0.00003004456,0.0002192249,0.0001224706,0.005209922],"category_scores_gemma":[0.00007978622,0.00007062867,0.0000808158,0.0005479382,0.0001233932,0.0001098596,0.0001577039,0.0005191972,0.00003229131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940434,"about_ca_system_score_gemma":0.00003242518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735018,"about_ca_topic_score_gemma":0.003932223,"domain_scores_codex":[0.9982744,0.0002927691,0.0003507737,0.0004546976,0.0002242295,0.0004030725],"domain_scores_gemma":[0.9996501,0.0001154556,0.00008553858,0.00005388061,0.00002167169,0.0000733439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000142645,0.001136843,0.8581868,0.000002424101,0.000001529503,0.0001917529,0.0008507869,0.00001561652,0.1289258,0.00007123111,0.0003058976,0.01016869],"study_design_scores_gemma":[0.0003366287,0.0007178434,0.9850946,0.000002828287,0.000008884986,0.00007561055,0.005557823,0.00003253391,0.00007901666,0.00002321462,0.007890874,0.0001801314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965015,0.00004425359,3.369236e-8,0.002659771,0.0001946671,0.0002932645,0.00004978687,0.00005032695,0.0002063887],"genre_scores_gemma":[0.9992094,0.000005465019,0.00004424609,0.0002397237,0.0001040726,0.00007750731,0.0001470275,0.000001769136,0.0001707729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1288468,"threshold_uncertainty_score":0.9956995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476975722384918,"score_gpt":0.2828593913297868,"score_spread":0.235161819091295,"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."}}