{"id":"W2915435039","doi":"10.1098/rsbl.2018.0878","title":"Veiled preferences and cryptic female choice could underlie the origin of novel sexual traits","year":2019,"lang":"en","type":"article","venue":"Biology Letters","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Science Foundation","keywords":"Biology; Mate choice; Trait; Sexual selection; Preference; Selection (genetic algorithm); Mating preferences; Evolutionary biology; Population; Limiting; Genetics; Demography; Mating","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":[0.0001227887,0.0000790735,0.0001156494,0.000005667248,0.00007086701,0.00000952656,0.000124521,0.00007591055,0.0001097589],"category_scores_gemma":[0.00001614138,0.00002318154,0.00002442107,0.00008101759,0.0001849281,0.00003809092,0.0000285182,0.00008684737,0.0000121209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005446115,"about_ca_system_score_gemma":0.000002870053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002140372,"about_ca_topic_score_gemma":0.00006795482,"domain_scores_codex":[0.9994211,0.00004767867,0.0001089281,0.0002348446,0.00005262155,0.0001347796],"domain_scores_gemma":[0.9997104,0.000150038,0.00006185925,0.00003873523,0.00001696286,0.0000219689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001149831,0.00002604432,0.1501983,0.000003315341,0.000006902082,7.60528e-8,0.0000466603,0.000001103689,0.8441403,0.0001306994,0.0001031345,0.005332008],"study_design_scores_gemma":[0.0001381897,0.0003159925,0.9930453,0.000004403043,0.00001436499,0.00000411315,0.0002925256,0.000007940371,0.002416222,0.00001974842,0.003654975,0.00008620672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962518,0.00008673887,0.000003878406,0.003229616,0.0001504963,0.0001614921,0.00001175563,0.00001746833,0.00008681723],"genre_scores_gemma":[0.999247,0.000008789259,0.00002737456,0.0004226602,0.0001645457,0.00000563876,0.00001251519,4.706654e-7,0.0001110061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.842847,"threshold_uncertainty_score":0.1201783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06379528025946302,"score_gpt":0.2702106587758419,"score_spread":0.2064153785163789,"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."}}