{"id":"W2132430797","doi":"10.1098/rsbl.2011.1009","title":"Importance of breeding season and maternal investment in studies of sex-ratio adjustment: a case study using tree swallows","year":2011,"lang":"en","type":"article","venue":"Biology Letters","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Sex ratio; Seasonal breeder; Tree (set theory); Investment (military); Evolutionary biology; Ecology; Zoology; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005568018,0.00008538297,0.000227631,0.0001186969,0.00007486362,0.000003876501,0.00009011335,0.00003775188,0.000008171049],"category_scores_gemma":[0.00001962117,0.00006959453,0.00002601319,0.0001447168,0.0004498262,0.00007184644,0.00004873028,0.00004762562,9.072102e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002124777,"about_ca_system_score_gemma":0.00002184672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01048614,"about_ca_topic_score_gemma":0.03016794,"domain_scores_codex":[0.9990746,0.0002362764,0.0002524799,0.0001859543,0.00008260005,0.0001681372],"domain_scores_gemma":[0.9996549,0.00005085628,0.0001586318,0.00007862112,0.00002230799,0.00003469603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009844985,0.00006669063,0.9133521,0.00001078032,0.0000923445,0.00006800687,0.0813165,5.814641e-7,0.002261344,0.0004585228,0.000008623409,0.002354702],"study_design_scores_gemma":[0.0006987702,0.0003701613,0.8261593,0.00003912996,0.00006965394,0.00002167808,0.1714343,0.00002485614,0.0002998651,0.0007081355,0.00001944093,0.0001546899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984338,0.0008672257,0.000007199334,0.0001062577,0.0001280111,0.0001826314,0.000004161443,0.000007914387,0.0002627884],"genre_scores_gemma":[0.9992889,0.00009485745,0.0004088219,0.00015824,0.00002807937,0.00001087772,3.699167e-7,0.000002842054,0.000007010232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09011784,"threshold_uncertainty_score":0.9961031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542781860037153,"score_gpt":0.3510759572746937,"score_spread":0.1967977712709784,"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."}}