{"id":"W3105790813","doi":"10.3389/fevo.2020.559690","title":"The Role of Cognition in Social Information Use for Breeding Site Selection: Experimental Evidence in a Wild Passerine Population","year":2020,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Uppsala Universitet; Université de Lyon; Ministère de l'Enseignement Supérieur et de la Recherche; Agence Nationale de la Recherche","keywords":"Parus; Passerine; Cyanistes; Preference; Social learning; Nest (protein structural motif); Mate choice; Nest box; Task (project management); Population; Cognition; Flycatcher; Natural selection; Sexual selection; Ficedula; Cognitive psychology; Psychology; Selection (genetic algorithm); Biology; Communication; Artificial intelligence; Computer science; Ecology; Statistics; Demography; Mathematics; Seasonal breeder; Mating","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008076102,0.0004127712,0.0002680248,0.0006189051,0.0004299032,0.0006541708,0.0003181891,0.0006268259,0.001390963],"category_scores_gemma":[0.001745883,0.0002560885,0.0002027085,0.0001648688,0.001700492,0.0004597056,0.0004949805,0.0005770405,0.0001114977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393867,"about_ca_system_score_gemma":0.0002438582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003002847,"about_ca_topic_score_gemma":0.007649906,"domain_scores_codex":[0.9995622,0.000156418,0.00002451093,0.0001656219,0.00005728075,0.0000338527],"domain_scores_gemma":[0.9974209,0.0008765428,0.0008154884,0.0003611022,0.0001496066,0.0003763042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002670347,0.005168988,0.6449211,0.0002235287,0.0006715707,0.0004623489,0.003876531,0.0005197698,0.3098481,0.0005475944,0.0003029574,0.03078715],"study_design_scores_gemma":[0.0000255408,0.001313023,0.9947954,0.00000776962,0.0000585115,0.00007592951,0.0001749777,0.0003774191,0.002872787,0.0001175472,0.0001699739,0.00001114039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996831,0.00005909706,0.00006820504,0.00001904749,9.924114e-7,0.000003759478,0.00001219597,0.000002646955,0.0001509355],"genre_scores_gemma":[0.9989767,0.00006842979,0.0005254676,0.00004626307,0.000004117689,0.00002556715,0.00004737101,0.000004321458,0.0003017776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003002847,"threshold_uncertainty_score":0.005970776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467954998744809,"score_gpt":0.2356194728394954,"score_spread":0.2109399228520473,"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."}}