{"id":"W2891278439","doi":"10.1126/science.aav4632","title":"Vision using multiple distinct rod opsins in deep-sea fishes","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Eye Institute; Office of Experimental Program to Stimulate Competitive Research; Australian Research Council; Office of Nuclear Energy; Norges Forskningsråd; Universitetet i Oslo; Queensland Brain Institute; King Abdullah University of Science and Technology; Norwegian Sequencing Centre; National Science Council; European Research Council; Grantová Agentura České Republiky; National Science Foundation; University of Queensland; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; McGill University; Universität Basel; Waitt Foundation","keywords":"Opsin; Photopigment; Rhodopsin; Vertebrate; Biology; Evolutionary biology; Fish <Actinopterygii>; Anatomy; Retina; Gene; Genetics; Neuroscience; Retinal; Fishery; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003038939,0.000200867,0.0002438187,0.0004939763,0.0003572573,0.0006431898,0.0003421359,0.0005109722,0.0009733416],"category_scores_gemma":[0.0002208956,0.0002685735,0.0003118535,0.0002814844,0.0005930738,0.0008835752,0.000639975,0.0009018015,0.0002299807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007076134,"about_ca_system_score_gemma":0.00043906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00268194,"about_ca_topic_score_gemma":0.005401525,"domain_scores_codex":[0.9998379,0.000006523971,0.00001156286,0.00005396158,0.00006036234,0.00002977147],"domain_scores_gemma":[0.999846,0.00001116564,0.00003739541,0.00001513078,0.00005006947,0.0000401539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003006062,0.00003276785,0.02813225,0.0002038025,0.00006142624,0.0006813179,0.000312445,0.000248075,0.9105716,0.004667192,0.002002928,0.05278553],"study_design_scores_gemma":[0.00007616309,0.0005717649,0.6326318,0.0002384378,0.0002822267,0.007251796,0.001597833,0.003488095,0.2599347,0.01453197,0.07922432,0.0001707519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565712,0.01616483,0.01164963,0.002982844,0.0006852191,0.0000173201,0.0003957601,0.0001485802,0.01138463],"genre_scores_gemma":[0.9781586,0.005680472,0.006688118,0.001163475,0.0001238394,0.00001213404,0.0004027857,0.00005055288,0.007719999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00268194,"threshold_uncertainty_score":0.005332589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05528789708096531,"score_gpt":0.3580484806646061,"score_spread":0.3027605835836408,"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."}}