{"id":"W4379798526","doi":"10.1139/dsa-2022-0060","title":"Localizing Japanese toads in a mountainous terrain using drone-based radiotelemetry","year":2023,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Drone; Transmitter; Vegetation (pathology); Grid; Scale (ratio); Remote sensing; Geology; Geography; Computer science; Physical geography; Geodesy; Cartography; Telecommunications; Biology","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":[0.0002308008,0.0001099873,0.0001327299,0.00009184999,0.0001372705,0.00003698097,0.0001475805,0.0001107685,0.000003511319],"category_scores_gemma":[0.0000104008,0.0001113841,0.00004252826,0.0003217938,0.00006786314,0.000004012798,0.00007632191,0.00008302424,0.00001330156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002995715,"about_ca_system_score_gemma":0.00004096819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006195352,"about_ca_topic_score_gemma":0.00008896407,"domain_scores_codex":[0.9991819,0.00006032448,0.0002304702,0.0002533153,0.00008432259,0.0001896174],"domain_scores_gemma":[0.999455,0.00001447983,0.00006166529,0.0003666266,0.0000327943,0.00006948554],"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":[0.00003886149,0.000224275,0.0151126,0.0001651374,0.00002720312,0.000004211324,0.0002615887,0.002364171,0.9742912,0.001698322,0.0003810109,0.005431437],"study_design_scores_gemma":[0.007237306,0.001180508,0.1196766,0.0004543083,0.000257471,0.0002791246,0.02431039,0.273192,0.03264499,0.0001982348,0.5370432,0.003525841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896825,0.001007957,0.008277959,0.0001136647,0.00002388488,0.0005184197,0.0000212959,0.00004361139,0.0003107099],"genre_scores_gemma":[0.9988502,0.00004125371,0.0001997347,0.00008393996,0.00009016301,0.0002761168,0.0001892636,0.00001919084,0.000250089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9416462,"threshold_uncertainty_score":0.4542111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109009467130968,"score_gpt":0.3131788146840119,"score_spread":0.2820887200127022,"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."}}