{"id":"W2890391176","doi":"10.1080/23308249.2018.1496065","title":"Artificial Light in Commercial Industrialized Fishing Applications: A Review","year":2018,"lang":"en","type":"review","venue":"Reviews in Fisheries Science & Aquaculture","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fishing; Overfishing; Bycatch; Fishery; Artificial light; Environmental science; Natural resource economics; Business; Economics; Biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005915593,0.000819596,0.003516888,0.0002265397,0.0004084843,0.0001808127,0.002745327,0.0009707592,0.002415509],"category_scores_gemma":[0.001427519,0.0005718754,0.0005306699,0.005415308,0.002284416,0.0007621045,0.0008342482,0.00149031,0.001630011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222865,"about_ca_system_score_gemma":0.0003031899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001565421,"about_ca_topic_score_gemma":0.00535964,"domain_scores_codex":[0.9930778,0.001021535,0.002578731,0.001696753,0.0005608418,0.001064303],"domain_scores_gemma":[0.9973275,0.0001236309,0.001174527,0.001111988,0.00003677211,0.0002255571],"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":[0.000003709016,0.0001690972,0.0009278786,0.004816563,0.000003562948,0.00001019382,0.0001161341,4.640542e-8,0.0000153303,0.0000258876,0.07240358,0.921508],"study_design_scores_gemma":[0.00009549398,0.00005985274,0.0006716035,0.0222509,0.0001756319,0.00003478112,0.00002006177,4.370811e-7,0.000001557707,0.00006524221,0.9759826,0.0006418261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002872409,0.9875656,0.000003231624,0.001107507,0.0005591127,0.00640121,0.00003946321,0.00004576435,0.004249326],"genre_scores_gemma":[0.000002461071,0.9938652,0.0006049744,0.001394365,0.0003681451,0.003247664,0.00009924533,0.00003409121,0.0003838381],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9208662,"threshold_uncertainty_score":0.9996732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306995148223525,"score_gpt":0.364001115776167,"score_spread":0.2333016009538145,"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."}}