{"id":"W4404195436","doi":"10.5376/ija.2024.14.0024","title":"Comparative Genomics of Aquatic Organisms: Insights into Biodiversity Origins","year":2024,"lang":"en","type":"article","venue":"International Journal of Aquaculture","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Genomics; Biology; Computational biology; Evolutionary biology; Genome; Ecology; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008059673,0.0002444765,0.0003405136,0.001860605,0.0005981646,0.0007134985,0.0004104254,0.0004706077,0.001018488],"category_scores_gemma":[0.001111968,0.0001297878,0.0002733008,0.001770394,0.0008408148,0.001470699,0.0009282535,0.0006858677,0.0001300156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005742963,"about_ca_system_score_gemma":0.0004478918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415976,"about_ca_topic_score_gemma":0.001938244,"domain_scores_codex":[0.999656,0.0001074494,0.00001567215,0.0001092821,0.00006397504,0.00004752571],"domain_scores_gemma":[0.999478,0.0002076686,0.00009816934,0.00005148189,0.00007630912,0.00008845936],"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":[0.0004192067,0.0001229981,0.1302528,0.001721853,0.0004116417,0.001317926,0.006559485,0.003475148,0.4624131,0.08708668,0.00101185,0.3052073],"study_design_scores_gemma":[0.00002656799,0.0005375786,0.7837513,0.0005647849,0.0002946031,0.002054303,0.004821203,0.004793843,0.0269404,0.0999428,0.0761468,0.0001257487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8735316,0.04083458,0.05520668,0.002695291,0.000119541,0.00004767273,0.0007553929,0.0001103158,0.02669888],"genre_scores_gemma":[0.969965,0.008326015,0.01940537,0.0005804419,0.00006904684,0.00002952718,0.0005650931,0.00002394237,0.001035492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001860605,"threshold_uncertainty_score":0.004262447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261776481620699,"score_gpt":0.2542852279693099,"score_spread":0.2416674631531029,"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."}}