{"id":"W1787866469","doi":"10.1111/j.1365-294x.2009.04332.x","title":"Rhodopsin population genetics and local adaptation: variable dim‐light vision in sand gobies is illuminated","year":2009,"lang":"en","type":"letter","venue":"Molecular Ecology","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Adaptation (eye); Rhodopsin; Intraspecific competition; Natural selection; Ecological genetics; Evolutionary biology; Population; Local adaptation; Selection (genetic algorithm); Pomatoschistus; Ecology; Population genetics; Fish <Actinopterygii>; Botany; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000900932,0.0003988527,0.0005116918,0.0002456832,0.0007434924,0.0007667047,0.0006906429,0.007380947,0.003152735],"category_scores_gemma":[0.00310105,0.000219544,0.0002702235,0.0002205725,0.001578137,0.0006385914,0.0004118106,0.005039656,0.001611889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216223,"about_ca_system_score_gemma":0.0003486447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504964,"about_ca_topic_score_gemma":0.002215545,"domain_scores_codex":[0.9996881,0.0001028267,0.0000296459,0.00006928956,0.00006688853,0.00004321713],"domain_scores_gemma":[0.9988393,0.0006671828,0.0001021428,0.00009017196,0.0001571209,0.0001440559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00187216,0.0003008429,0.03227276,0.0004242755,0.0001569058,0.06575204,0.00055559,0.0007774894,0.02175208,0.0115658,0.7308728,0.1336973],"study_design_scores_gemma":[0.001734686,0.00105382,0.09928941,0.00069918,0.0003265915,0.1143966,0.001719559,0.0117924,0.01838778,0.05492876,0.6953834,0.0002877327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04131575,0.005794968,0.0011129,0.9347228,0.006779505,0.00004300329,0.0001021311,0.0001321763,0.009996847],"genre_scores_gemma":[0.428374,0.0142115,0.001808805,0.4662523,0.05526557,0.0001372911,0.0001708732,0.0001034402,0.03367623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007380947,"threshold_uncertainty_score":0.01054692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004783941649570935,"score_gpt":0.2211382652429348,"score_spread":0.2163543235933638,"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."}}