{"id":"W3107570307","doi":"10.1177/0300985820972454","title":"Challenges in the Assessment of Bycatch: Postmortem Findings in Harbor Porpoises ( <i>Phocoena phocoena</i> ) Retrieved From Gillnets","year":2020,"lang":"en","type":"review","venue":"Veterinary Pathology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ministerie van Landbouw, Natuur en Voedselkwaliteit; Universiteit Utrecht","keywords":"Bycatch; Phocoena; Porpoise; Fishery; Biology; Cetacea; Fishing; Harbour; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009089945,0.0006403213,0.00231109,0.0000773355,0.00006000156,0.00001606223,0.001342143,0.000363633,0.0004378587],"category_scores_gemma":[0.0001132343,0.0004714231,0.0003321423,0.0007552303,0.0002789245,0.0001157416,0.00181941,0.0008366245,0.000130163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399478,"about_ca_system_score_gemma":0.00006300382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008087141,"about_ca_topic_score_gemma":0.0006414367,"domain_scores_codex":[0.9955041,0.00119366,0.001165395,0.001142561,0.0004355488,0.0005586985],"domain_scores_gemma":[0.9980236,0.0005556557,0.000535547,0.0007976317,0.000007618211,0.0000799577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006890981,0.000567104,0.007907936,0.004615489,0.00009780058,0.008999348,0.001091933,0.000001672874,0.000113086,0.0001339585,0.0008487886,0.975554],"study_design_scores_gemma":[0.0003330313,0.001074964,0.08979994,0.001347842,0.0001151178,0.000265246,0.0001268928,0.000006547101,0.000001036233,0.00004349797,0.9064634,0.000422432],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01703158,0.971737,0.000001603586,0.0005240649,0.0001935428,0.001506706,0.0001452582,0.00002989589,0.00883032],"genre_scores_gemma":[0.01876448,0.9798229,0.0004715195,0.0003532836,0.00005927759,0.0004016295,0.00005638238,0.00005644552,0.00001411684],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9751316,"threshold_uncertainty_score":0.9997737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15920147091371,"score_gpt":0.3527235144382262,"score_spread":0.1935220435245162,"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."}}