{"id":"W1597335370","doi":"","title":"Acoustic detection and localization of whales in bay of fundy and St. Lawrence estuary critical habitats","year":2004,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Parks Canada; Fisheries and Oceans Canada; Université du Québec à Rimouski","keywords":"Spectrogram; Estuary; Acoustics; Bay; Oceanography; Shore; Ambient noise level; Geology; Habitat; Underwater acoustics; Noise (video); Remote sensing; Environmental science; Seismology; Underwater; Sound (geography); Computer science; Physics; Ecology; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0001701856,0.0002459447,0.0001260108,0.0006605451,0.0003581086,0.0004089368,0.0002889074,0.0001806575,0.0005353479],"category_scores_gemma":[0.0008107936,0.0001242952,0.00009637451,0.0004321878,0.0003729186,0.0001622844,0.0003969116,0.00009755349,0.0001253738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008153127,"about_ca_system_score_gemma":0.001200488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4947743,"about_ca_topic_score_gemma":0.7331882,"domain_scores_codex":[0.9998982,0.000008056531,0.000003595695,0.00002646203,0.00003472482,0.00002897579],"domain_scores_gemma":[0.9996897,0.00006062012,0.00004980421,0.00001329523,0.0001325465,0.00005410404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003547022,0.00003333646,0.8254712,0.0001092225,0.00004777678,0.0003650025,0.003543135,0.002262008,0.08635163,0.0002305139,0.0002904915,0.080941],"study_design_scores_gemma":[0.000006515253,0.0001218632,0.9903176,0.0000119996,0.00001832931,0.00009830859,0.00146871,0.002580572,0.004581586,0.00002096125,0.0007616786,0.00001190719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981393,0.00005523624,0.001083978,0.00001239308,0.000001875388,0.000009199668,0.00007708462,0.00002155089,0.0005993625],"genre_scores_gemma":[0.9954835,0.0001044298,0.002534505,0.000008578285,0.000001898336,0.000009136964,0.0001850569,0.000003304339,0.00166963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5052257,"threshold_uncertainty_score":0.9837887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885287394851539,"score_gpt":0.2433185012199022,"score_spread":0.2244656272713868,"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."}}