{"id":"W2398292744","doi":"","title":"NEH Project: Modeling Acoustic Adaptation in Bird Song","year":2011,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Singing; Sparrow; Sociocultural evolution; Adaptation (eye); Selection (genetic algorithm); Darwinism; Variation (astronomy); Computer science; Evolutionary biology; Ecology; Artificial intelligence; Psychology; Biology; Sociology; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002526259,0.0001116698,0.00008352529,0.0001129693,0.00007259189,0.00002686101,0.0002493137,0.0001117778,0.0001103499],"category_scores_gemma":[0.0002056249,0.0001131188,0.0000388589,0.0001653478,0.00006188795,0.00001148396,0.00005259438,0.0001534648,0.000115164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003089596,"about_ca_system_score_gemma":0.000232512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002219641,"about_ca_topic_score_gemma":0.001350083,"domain_scores_codex":[0.9990036,0.00006306136,0.0002897704,0.0002621273,0.0002286102,0.0001527616],"domain_scores_gemma":[0.9993686,0.00001442539,0.00006268772,0.000154237,0.0003618559,0.00003818151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001754358,0.001602083,0.001239269,0.00002478951,0.00003100612,0.000008573517,0.002831219,0.03380413,0.3747618,0.4353642,0.00009775072,0.1484808],"study_design_scores_gemma":[0.00008941522,0.0006890606,0.001853486,0.00005730972,0.00001066241,0.000004342199,0.002924633,0.8999106,0.06847765,0.02540398,0.0001372094,0.0004416661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6365525,0.00006930877,0.3421195,0.0002871174,0.0001698832,0.0005172195,0.00001795771,0.00007172272,0.02019487],"genre_scores_gemma":[0.9977611,0.00005141801,0.001779223,0.0001919445,0.00005089805,0.00004552439,0.00003065433,0.00001351115,0.00007569539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8661065,"threshold_uncertainty_score":0.4612851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.409522795059289,"score_gpt":0.3920580445985265,"score_spread":0.01746475046076246,"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."}}