{"id":"W2600576312","doi":"10.22621/cfn.v130i4.1919","title":"Exploring the Adaptive Significance of Five Types of Puma (<i>Puma concolor</i>) Vocalizations","year":2017,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gordon and Betty Moore Foundation; California Department of Fish and Wildlife; National Science Foundation","keywords":"Puma; ALARM; Communication; Vocal communication; Animal communication; Alarm signal; Variety (cybernetics); Psychology; Biology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001795084,0.0001077683,0.0001367149,0.00002625782,0.0005920079,0.00004000478,0.0009912306,0.000102488,0.00008930416],"category_scores_gemma":[0.0003281288,0.00007350775,0.00008687963,0.00006273581,0.0004469993,0.00001323009,0.0001312403,0.0001536402,0.0000110359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003256964,"about_ca_system_score_gemma":0.0002462953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01870871,"about_ca_topic_score_gemma":0.320736,"domain_scores_codex":[0.9992839,0.00009232767,0.0001871162,0.0001596061,0.0001035318,0.0001735643],"domain_scores_gemma":[0.9984207,0.00007650334,0.0001856143,0.0009918351,0.0002332359,0.00009212697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006895152,0.0001582038,0.002242893,0.00007963731,0.0004735297,0.00001654439,0.003617675,0.0003250064,0.7208218,0.1746547,0.07556107,0.0213594],"study_design_scores_gemma":[0.001005465,0.0007842068,0.1189141,0.0001419527,0.0002846316,0.0000191153,0.001300423,0.0006070319,0.3004182,0.0006156786,0.5751378,0.0007713439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371797,0.001122374,0.0001239285,0.01160896,0.0004140705,0.0006490193,0.0002712379,0.00001253534,0.04861814],"genre_scores_gemma":[0.9962869,0.0001595855,0.00007416213,0.0005444886,0.00007552205,0.00003852415,0.00003839286,0.00001083351,0.002771562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4995767,"threshold_uncertainty_score":0.9878258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06711193177373277,"score_gpt":0.2869255066697741,"score_spread":0.2198135748960414,"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."}}