{"id":"W4319827694","doi":"10.1093/molbev/msad030","title":"Adaptation of Antarctic Icefish Vision to Extreme Environments","year":2023,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of South Carolina","keywords":"Biology; Adaptation (eye); Extreme environment; Evolutionary biology; Ecology; Zoology; Genetics; Neuroscience; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00013686,0.00005418494,0.00006591724,0.0001641902,0.00006427853,0.00000482006,0.00008024115,0.00005441633,0.00001254869],"category_scores_gemma":[0.000190275,0.00005259084,0.00001800683,0.0003200847,0.00006086149,0.00002304241,0.00009779346,0.00004395417,0.0001252172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000251435,"about_ca_system_score_gemma":0.000008993212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004922614,"about_ca_topic_score_gemma":0.000008659146,"domain_scores_codex":[0.9992861,0.0001080792,0.00009237712,0.0002365803,0.0001064826,0.0001703996],"domain_scores_gemma":[0.9997552,0.00003508836,0.00001800339,0.0001068579,0.000009320665,0.00007551564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004003879,0.00001629605,0.004350791,0.000003964992,0.000001489989,0.000001901445,0.00009113832,0.0004524139,0.9919183,0.0004605639,0.00004831502,0.002614746],"study_design_scores_gemma":[0.0002035907,0.0005245501,0.121848,0.00001049404,0.000004057688,0.000002702631,0.0000329292,0.005156975,0.8683298,0.00165845,0.002135172,0.00009324795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683317,0.00003494707,0.0310657,0.0001964634,0.00008709272,0.000172552,0.00001007139,0.00001427849,0.00008721468],"genre_scores_gemma":[0.9994461,0.00005506658,0.000241902,0.0001389071,0.000009094902,0.00001556109,0.000009815072,0.000005400922,0.00007814489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235885,"threshold_uncertainty_score":0.2144592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435837825894889,"score_gpt":0.327201630261975,"score_spread":0.2836178476724861,"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."}}