{"id":"W4399020314","doi":"10.1101/2024.05.23.595469","title":"The sensory shark: high-quality morphological, genomic and transcriptomic data for the small-spotted catshark <i>Scyliorhinus canicula</i> reveal the molecular bases of sensory organ evolution in jawed vertebrates","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research","funders":"Division of Biological Infrastructure; Biotechnology and Biological Sciences Research Council; National Science Foundation; Direction Générale de l’offre de Soins; National Institutes of Health; Directorate for Biological Sciences; Centre National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; Institut National Du Cancer; Vetenskapsrådet; University of Haifa; Agence Nationale de la Recherche","keywords":"Scyliorhinus canicula; Biology; Evolutionary biology; Vertebrate; Phylogenetics; Sensory system; Gene; Genetics; Neuroscience; Fish <Actinopterygii>; 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":[0.00009940976,0.0002111891,0.0002160145,0.000681227,0.0002880284,0.0003340929,0.000149308,0.0001978538,0.001315946],"category_scores_gemma":[0.0001519626,0.000110297,0.0003069402,0.0006002854,0.0002605812,0.0001773847,0.0003564131,0.0001722369,0.00034415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679777,"about_ca_system_score_gemma":0.000256215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555423,"about_ca_topic_score_gemma":0.004091667,"domain_scores_codex":[0.9999144,0.000003229964,0.000005733748,0.00003448237,0.00002511894,0.00001700242],"domain_scores_gemma":[0.9998577,0.00002295437,0.0000391306,0.00001905194,0.00003288174,0.00002836806],"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":[0.0001246124,0.00001058664,0.01579505,0.00008466575,0.00002330723,0.0001277553,0.00009712607,0.0001288797,0.9795304,0.00004836197,0.00008652051,0.003942751],"study_design_scores_gemma":[0.00001667536,0.000155917,0.925939,0.00002289286,0.0000908091,0.0007495871,0.0003191507,0.001156922,0.06707186,0.000100946,0.004358484,0.00001782551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947942,0.0002043713,0.001246841,0.00002825332,0.000006064198,0.000008835389,0.003129775,0.00003992943,0.0005416749],"genre_scores_gemma":[0.9835594,0.0001940023,0.003146096,0.00005356778,0.00001172634,0.00003470216,0.01181789,0.00003975519,0.001142789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001555423,"threshold_uncertainty_score":0.00440228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243993810600857,"score_gpt":0.2337700195846282,"score_spread":0.2113300814786196,"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."}}