{"id":"W7048785925","doi":"","title":"Monitoring fish using passive acoustics","year":2022,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Fish <Actinopterygii>; Software; Set (abstract data type); Sound (geography); Bioacoustics; Telemetry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002720231,0.0004005166,0.0003287738,0.001166109,0.0002337653,0.0005399606,0.0006332627,0.0004541988,0.002393595],"category_scores_gemma":[0.0005595141,0.0002418382,0.0002841967,0.0005453221,0.0002155633,0.0007613824,0.0005954689,0.0002608235,0.001178786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167291,"about_ca_system_score_gemma":0.000224944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737699,"about_ca_topic_score_gemma":0.002684871,"domain_scores_codex":[0.9996251,0.00002857633,0.00001393799,0.0001682771,0.000142433,0.00002170801],"domain_scores_gemma":[0.9996383,0.00007041688,0.00006931274,0.00003529291,0.0001585149,0.00002811484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002517196,0.000141701,0.07428955,0.0006165684,0.0001086504,0.0001527868,0.0008349082,0.004372857,0.6393902,0.0007931756,0.002440077,0.276608],"study_design_scores_gemma":[0.000142127,0.003001878,0.5245084,0.0003646049,0.0006170216,0.002148604,0.001915505,0.1085818,0.3141648,0.002471558,0.04176198,0.0003216216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8098143,0.000777449,0.1568652,0.000204583,0.0001414016,0.0002877043,0.002312723,0.002214458,0.02738211],"genre_scores_gemma":[0.8843843,0.00123349,0.09386905,0.0001895243,0.0001211864,0.0002643957,0.001423822,0.0001216735,0.01839255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002393595,"threshold_uncertainty_score":0.008007407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287897126988471,"score_gpt":0.2909060672166456,"score_spread":0.2680270959467609,"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."}}