{"id":"W2885671209","doi":"10.1093/gbe/evy157","title":"Molecular Adaptations for Sensing and Securing Prey and Insight into Amniote Genome Diversity from the Garter Snake Genome","year":2018,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary; Carleton University; University of Toronto","funders":"National Human Genome Research Institute; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Biology; Colubridae; Amniote; Genome; Evolutionary biology; Genome evolution; W chromosome; Lineage (genetic); Comparative genomics; Genetics; Gene; Genomics; Chromosome; Zoology; Vertebrate","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001400039,0.0002745067,0.0002086715,0.0009065403,0.0002874728,0.0004190595,0.0001591923,0.0003900269,0.0009718386],"category_scores_gemma":[0.0003149174,0.0001769276,0.000429812,0.0008979774,0.0002003037,0.0003792366,0.0004697668,0.0005325703,0.0002740912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411923,"about_ca_system_score_gemma":0.0001829754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005387035,"about_ca_topic_score_gemma":0.001431929,"domain_scores_codex":[0.9999318,0.000006836629,0.00000545259,0.00002844776,0.00001725431,0.0000101837],"domain_scores_gemma":[0.9998317,0.00005343415,0.00004856723,0.00002127526,0.00001832736,0.00002675393],"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":[0.0001679502,0.0000223352,0.02573206,0.0003183821,0.00005230755,0.0004580585,0.0006815499,0.0003936038,0.9531844,0.000532103,0.0002818678,0.01817537],"study_design_scores_gemma":[0.00002154349,0.0001982248,0.8872453,0.0001675379,0.0002580338,0.002555473,0.0009316836,0.00204264,0.06666827,0.001697773,0.03816839,0.00004508551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876743,0.002961261,0.003650344,0.0002979996,0.00001952484,0.00001035311,0.003459383,0.0001761808,0.001750636],"genre_scores_gemma":[0.9583206,0.003916359,0.01838251,0.0003953206,0.00003888439,0.0000370956,0.01723221,0.0001309294,0.001546138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009718386,"threshold_uncertainty_score":0.003251076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016625394931876,"score_gpt":0.2058264283864978,"score_spread":0.1956601744371791,"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."}}