{"id":"W2762570341","doi":"","title":"The relationships between acoustic target strength and body length for Altantic sturgeon","year":2010,"lang":"en","type":"article","venue":"US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001702957,0.0002271252,0.0002441208,0.0001663797,0.0007288711,0.00005001873,0.0002927445,0.0001153142,0.00006571891],"category_scores_gemma":[0.0007334361,0.0001751121,0.0000312091,0.0002564754,0.0004490334,0.0001501202,0.0004568537,0.0005886721,0.00003509639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005986898,"about_ca_system_score_gemma":0.00003901529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006130071,"about_ca_topic_score_gemma":0.0004036012,"domain_scores_codex":[0.9982656,0.00005142914,0.0003496027,0.0003774002,0.0003000722,0.000655884],"domain_scores_gemma":[0.9979876,0.001410112,0.00005759871,0.0002382523,0.00009836099,0.0002080994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009904146,0.0003740998,0.9481983,0.0002725395,0.0003482472,0.000006061383,0.002424497,0.0001612277,0.0007479736,0.002672132,0.04032974,0.004366118],"study_design_scores_gemma":[0.001471273,0.0002640554,0.825659,0.00005378638,0.00003484025,0.000004363025,0.0005599808,0.004991616,0.0008176481,0.0009981977,0.1647406,0.0004045703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883769,0.000383819,0.006541772,0.0003751743,0.0004950147,0.00117052,0.00003437652,0.00007001997,0.002552469],"genre_scores_gemma":[0.993569,0.0002523128,0.004728841,0.00001130707,0.00007119684,0.0001354537,0.00004645645,0.00002527961,0.001160193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1244109,"threshold_uncertainty_score":0.7140866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382732283315847,"score_gpt":0.2871517890827678,"score_spread":0.2433244662496093,"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."}}