{"id":"W7154421425","doi":"10.1145/3773699.3774353","title":"Whale Echo Dialogues: Simulating Acoustic Encounters Between Whales, Humans, and Machines","year":2025,"lang":"","type":"article","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Soundscape; Bioacoustics; Whale; Echo (communications protocol); Underwater; Echo sounding; Field (mathematics); Human echolocation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005091109,0.0005915913,0.000291025,0.000248809,0.0005000243,0.001038444,0.001040878,0.001042815,0.008801349],"category_scores_gemma":[0.002244706,0.0002473442,0.0004507064,0.0001270661,0.0009615953,0.000836722,0.002229585,0.0006289063,0.0007079236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668147,"about_ca_system_score_gemma":0.0002675448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644489,"about_ca_topic_score_gemma":0.002573734,"domain_scores_codex":[0.9996628,0.0001663631,0.0000133547,0.00006116901,0.00005562851,0.00004069112],"domain_scores_gemma":[0.9991806,0.0006149379,0.0000195213,0.00006830448,0.00004083079,0.00007569361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002567695,0.001217225,0.01554358,0.001819921,0.0003463145,0.004873494,0.04684309,0.4843267,0.2073891,0.05001091,0.01285307,0.1722089],"study_design_scores_gemma":[0.0004065088,0.001524512,0.01077709,0.000187884,0.0001361615,0.001127995,0.00964871,0.8222884,0.04682817,0.02673479,0.08015913,0.0001806153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6221445,0.0002745408,0.3473668,0.0004296458,0.0002801706,0.000504992,0.0006562352,0.002797877,0.02554534],"genre_scores_gemma":[0.9052314,0.0001324639,0.0841928,0.0001047294,0.000035466,0.0003695115,0.0004851344,0.0003569271,0.009091543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008801349,"threshold_uncertainty_score":0.02944344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235193742267705,"score_gpt":0.2685444505287422,"score_spread":0.2450250763019717,"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."}}