{"id":"W1972862263","doi":"10.1007/s12237-014-9828-z","title":"Multibeam Acoustic Detection of Fish and Water Column Targets at High-Flow Sites","year":2014,"lang":"en","type":"article","venue":"Estuaries and Coasts","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Tidal power; Water column; Software deployment; Environmental science; Turbulence; Visibility; Oceanography; Geology; Marine engineering; Remote sensing; Meteorology; Computer science; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001860221,0.0001012053,0.0001526187,0.0000515354,0.0002432813,0.00007796592,0.00006608041,0.00006093906,0.0003151619],"category_scores_gemma":[0.00004572341,0.00007206572,0.0000151545,0.00004583127,0.000231467,0.0001058109,0.00005678823,0.00008061519,0.00002454213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003234509,"about_ca_system_score_gemma":0.0000075812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412355,"about_ca_topic_score_gemma":0.02313678,"domain_scores_codex":[0.9991549,0.00005009804,0.0001299625,0.0002011311,0.0001951977,0.0002686843],"domain_scores_gemma":[0.9995434,0.0001696309,0.00002626767,0.0001015958,0.00005064504,0.000108489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006867367,0.00009427261,0.5181049,0.0006273749,0.0001371226,0.0000289915,0.004009956,0.04285367,0.1923186,0.000008300141,0.003343141,0.237787],"study_design_scores_gemma":[0.000776362,0.0007283792,0.3758155,0.00001798183,0.0000369797,0.0000285673,0.0001485566,0.5704927,0.04623917,0.0006329432,0.004825374,0.0002574719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940119,0.00008972087,0.005182473,0.0001834836,0.0001060823,0.0001118204,0.00004495052,0.00002030045,0.0002492858],"genre_scores_gemma":[0.9986638,0.00007797188,0.0005734536,0.000102857,0.00006100284,0.00000118673,0.00006321666,0.000003931495,0.0004525282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.527639,"threshold_uncertainty_score":0.9946885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008707244524184629,"score_gpt":0.1969177691376315,"score_spread":0.1882105246134468,"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."}}