{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009186628,0.0001032691,0.0001282976,0.00002036469,0.0001247278,0.00001159876,0.0002400734,0.0001561504,0.00008542948],"category_scores_gemma":[0.00005673836,0.00007887437,0.00004149205,0.0001215914,0.0002938799,0.000002762262,0.0002114992,0.0001163947,0.000004953661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004222834,"about_ca_system_score_gemma":0.00001732951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001823883,"about_ca_topic_score_gemma":0.00001134203,"domain_scores_codex":[0.9992945,0.00006369466,0.0001836359,0.0002557091,0.00008770694,0.0001147997],"domain_scores_gemma":[0.9993688,0.00002851648,0.00008090668,0.0003607932,0.00009356564,0.00006742885],"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":[0.0001825346,0.0005406456,0.4609416,0.00002077275,0.00004440011,0.000003389115,0.00005223144,0.000005968901,0.4794557,0.003189961,0.0002341886,0.05532865],"study_design_scores_gemma":[0.0003742749,0.0002260885,0.9304934,0.000004957832,0.00004262534,0.00007857097,0.00008812122,0.00000244722,0.01558105,0.001013651,0.05190796,0.0001868961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991757,0.0003260699,0.005815038,0.0001625034,0.00000831674,0.0002562456,0.00008861234,0.00001937459,0.001566878],"genre_scores_gemma":[0.9969966,0.0001666781,0.002047038,0.0001599069,0.00003866355,0.0001108815,0.0002639885,0.000008072834,0.0002081578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4695518,"threshold_uncertainty_score":0.3216404,"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."}}