{"id":"W4249513711","doi":"10.1093/condor/103.1.134","title":"Repertoire, Structure, and Individual Distinctiveness of Thick-Billed Murre Calls","year":2001,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Repertoire; Optimal distinctiveness theory; Fledge; Biology; Zoology; Seasonal breeder; Variation (astronomy); Vocal communication; Context (archaeology); Call duration; Animal communication; Communication; Demography; Ecology; Hatching; Psychology; Social psychology; Acoustics","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":[0.0001942193,0.0001467405,0.000175339,0.0005870291,0.0001740697,0.000277605,0.0001586492,0.0001840813,0.001283839],"category_scores_gemma":[0.000656793,0.0001149695,0.00009469738,0.0001215488,0.0002635985,0.0001754139,0.0003366054,0.0001724179,0.0002215813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006924191,"about_ca_system_score_gemma":0.00003052301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005135863,"about_ca_topic_score_gemma":0.001846584,"domain_scores_codex":[0.9998772,0.00002309108,0.000008365601,0.00004647856,0.00001957562,0.00002535555],"domain_scores_gemma":[0.9994306,0.0001640843,0.0001868477,0.00005525129,0.00007343198,0.00008981968],"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":[0.0003921534,0.0000546852,0.4643429,0.00009431336,0.00005539359,0.0003844557,0.002325837,0.0001721885,0.5077341,0.00009502759,0.0000881578,0.02426077],"study_design_scores_gemma":[9.906142e-7,0.00008850337,0.9975883,0.000004195999,0.000005213551,0.0003756505,0.0002461266,0.0001112167,0.001430328,0.00001166592,0.0001335015,0.000004170594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994081,0.00007346836,0.0001345671,0.000002881369,8.822528e-7,0.00000201208,0.00002524601,0.000004572619,0.0003483465],"genre_scores_gemma":[0.9993796,0.00002379537,0.0002564673,0.000005380859,0.000001939458,0.000003966076,0.00005105071,0.000003584719,0.0002742721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001283839,"threshold_uncertainty_score":0.004294813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717248823253031,"score_gpt":0.2979698308033273,"score_spread":0.260797342570797,"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."}}