{"id":"W2582818433","doi":"10.1080/03632415.2017.1259944","title":"Low Bycatch Rates Add Up to Big Numbers for a Genus of Small Fishes","year":2017,"lang":"en","type":"article","venue":"Fisheries","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Duke University; Oak Foundation","keywords":"Bycatch; Seahorse; Fishing; Fishery; Biology; Genus; Zoology","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":[0.00009060081,0.00007529178,0.0001279817,0.000003214268,0.0002506307,0.0001023741,0.0002628264,0.00004969768,0.0001647921],"category_scores_gemma":[0.0002754454,0.00003051064,0.00005841644,0.00004401929,0.00006161028,0.0001054037,0.00005048648,0.00002239351,0.00001389454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005312745,"about_ca_system_score_gemma":0.00001032582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439382,"about_ca_topic_score_gemma":0.007534413,"domain_scores_codex":[0.9995065,0.00001221333,0.0001348835,0.0001389535,0.00007054852,0.0001368522],"domain_scores_gemma":[0.9995514,0.0001292235,0.0001081769,0.00008591481,0.00008091958,0.00004441887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002320724,0.00006960208,0.3640081,0.00006888314,0.00004733939,0.000001352752,0.001864192,0.000001025748,0.0373454,0.0003525893,0.09869095,0.4973185],"study_design_scores_gemma":[0.0002222673,0.0004319442,0.6831666,0.0000536348,0.00001836145,9.808293e-7,0.001449927,0.00005391773,0.03658904,0.001890214,0.275886,0.0002371176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911451,0.00001069412,0.00003074048,0.007251794,0.0002288678,0.0002042126,0.00005329677,0.00001884214,0.001056413],"genre_scores_gemma":[0.9944288,0.000006963262,0.0003671852,0.00067068,0.0002489482,0.00006229816,0.00003578715,8.539973e-7,0.00417845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4970814,"threshold_uncertainty_score":0.4204379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07857387066596659,"score_gpt":0.2545549935203421,"score_spread":0.1759811228543754,"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."}}