{"id":"W4286884883","doi":"10.1002/ece3.9137","title":"Resource acquisition and <scp>pre‐copulatory</scp> sexual selection","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation of Sri Lanka; National Science Foundation","keywords":"Selection (genetic algorithm); Sexual selection; Resource (disambiguation); Biology; Computer science; Zoology; Artificial intelligence; Computer network","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":[0.0009622249,0.0001988171,0.0002867912,0.0003508294,0.0002525662,0.001008584,0.000492517,0.0003211315,0.005535361],"category_scores_gemma":[0.003434222,0.0001495147,0.0003244037,0.0002921417,0.0009057891,0.0008265104,0.0005480687,0.0004070912,0.0004078732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006645635,"about_ca_system_score_gemma":0.0003668908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138962,"about_ca_topic_score_gemma":0.001270045,"domain_scores_codex":[0.9996643,0.0001234091,0.00001788461,0.00006433557,0.00006431656,0.00006571644],"domain_scores_gemma":[0.9978587,0.0011447,0.0005472895,0.0001697868,0.0001261314,0.0001533786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004045855,0.000299784,0.2832502,0.0004748321,0.0004500999,0.001511757,0.0005339419,0.08179402,0.1101557,0.3958137,0.002859802,0.1224516],"study_design_scores_gemma":[0.00003919524,0.000335681,0.5986693,0.00006485008,0.0001016448,0.00198005,0.0004204865,0.2331075,0.008873213,0.1505039,0.005828345,0.00007578417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421675,0.0008975458,0.0311451,0.0005464554,0.00001653639,0.00002184728,0.0001285408,0.00007024801,0.02500631],"genre_scores_gemma":[0.9978153,0.0001101109,0.001249955,0.00002859988,0.000007913683,0.000006689076,0.00002869422,0.000007763617,0.0007448241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005535361,"threshold_uncertainty_score":0.01851761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058200034669861,"score_gpt":0.2082265880183745,"score_spread":0.1976445876716759,"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."}}