{"id":"W2155654343","doi":"10.1650/0010-5422(2001)103[0134:rsaido]2.0.co;2","title":"REPERTOIRE, STRUCTURE, AND INDIVIDUAL DISTINCTIVENESS OF THICK-BILLED MURRE CALLS1","year":2001,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Resources Canada; National Research Centre","keywords":"Repertoire; Fledge; Optimal distinctiveness theory; Biology; Zoology; Seasonal breeder; Vocal communication; Call duration; Variation (astronomy); Context (archaeology); Animal communication; Communication; Demography; Ecology; Hatching; Psychology; Social psychology; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002040893,0.0001745645,0.0001843864,0.0007262314,0.0002066186,0.0002617043,0.0001825336,0.0002076709,0.001433201],"category_scores_gemma":[0.0006481326,0.0001182435,0.0001013649,0.0001693018,0.0003221246,0.000181657,0.00032663,0.0001678325,0.0003275019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007215547,"about_ca_system_score_gemma":0.00004070187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006055581,"about_ca_topic_score_gemma":0.002410387,"domain_scores_codex":[0.9998771,0.00002012173,0.000008208382,0.00004923639,0.00001912343,0.00002625785],"domain_scores_gemma":[0.9993371,0.0001612684,0.0002643089,0.00005811064,0.00007224927,0.0001069401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003470529,0.00007275609,0.5511658,0.0001134546,0.00004465894,0.0004459517,0.00275104,0.0001570775,0.4118368,0.00009254493,0.0001185692,0.0328542],"study_design_scores_gemma":[8.070581e-7,0.00009143362,0.9979012,0.000003500636,0.000004640306,0.0005419598,0.0001745123,0.00007020869,0.001033665,0.00001112156,0.0001623761,0.000004618434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991012,0.0001738741,0.0001939627,0.000004235766,0.000001273753,0.000003645074,0.00005129251,0.000006855057,0.0004636146],"genre_scores_gemma":[0.9989102,0.00005712401,0.0005445644,0.000009356764,0.000003981429,0.00000643346,0.0001009237,0.00000549705,0.0003620428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433201,"threshold_uncertainty_score":0.004794538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705535589515683,"score_gpt":0.2971497249803186,"score_spread":0.2600943690851617,"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."}}