{"id":"W2980098611","doi":"10.1093/beheco/arz169","title":"High and dry: Trade-off in arboreal calling in a treefrog mediated by local environment","year":2019,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; American Society of Ichthyologists and Herpetologists; Louisiana Department of Wildlife and Fisheries","keywords":"Arboreal locomotion; Biology; Desiccation; Ecology; Mating; Trade-off; Habitat; Range (aeronautics)","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":[0.0001195782,0.0001346963,0.0001999267,0.00005028296,0.00001977817,0.00000647819,0.0001532105,0.0002832339,0.0001141034],"category_scores_gemma":[0.00000517935,0.000137003,0.00002997785,0.00005231556,0.0001278048,0.000004231069,0.0001229783,0.0001923021,0.00002350068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005208671,"about_ca_system_score_gemma":0.00002947537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003889853,"about_ca_topic_score_gemma":0.002610399,"domain_scores_codex":[0.9990283,0.0001022637,0.0002453916,0.0003091337,0.00006481823,0.0002501444],"domain_scores_gemma":[0.9996391,0.00001517789,0.00004952505,0.0002187918,0.000004743247,0.00007265183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470468,0.0006528744,0.637019,0.000004048921,0.00000399473,0.00001606915,0.00006848697,0.00002269251,0.3503958,0.00005452978,0.0001295973,0.01148588],"study_design_scores_gemma":[0.002313041,0.001272987,0.9764898,0.000006817305,0.00001789565,0.000006605506,0.0002702123,0.000198063,0.01095608,0.00001385289,0.008164052,0.000290613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989985,0.0003310486,0.00002134884,0.0002960209,0.00003850362,0.0002361975,0.00002634678,0.000006957042,0.00004509599],"genre_scores_gemma":[0.9987718,0.0002939566,0.0001792278,0.0002161412,0.00001066053,0.00003491181,0.0003667643,0.00001544485,0.0001111062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3394708,"threshold_uncertainty_score":0.5586822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115642912531385,"score_gpt":0.2531629995024561,"score_spread":0.2420065703771422,"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."}}