{"id":"W3214219702","doi":"10.1093/nar/gkab1005","title":"Echinobase: leveraging an extant model organism database to build a knowledgebase supporting research on the genomics and biology of echinoderms","year":2021,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Centre National de la Recherche Scientifique; National Science Foundation","keywords":"Biology; Echinoderm; Organism; Genomics; Model organism; Resource (disambiguation); Genome; Computational biology; Data science; Computer science; Ecology; Gene; Genetics","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":[0.003072958,0.001117573,0.001076949,0.003999835,0.001267258,0.005241939,0.003254559,0.001271538,0.01009381],"category_scores_gemma":[0.00588749,0.001158922,0.001173914,0.003910766,0.0006009332,0.007252484,0.006025432,0.00232013,0.01029884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000947188,"about_ca_system_score_gemma":0.003416069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937734,"about_ca_topic_score_gemma":0.005893434,"domain_scores_codex":[0.9989372,0.00009510204,0.000183943,0.0003211118,0.000377572,0.00008500796],"domain_scores_gemma":[0.9975319,0.0004467499,0.000180693,0.0008630773,0.0005652135,0.0004123156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001897505,0.0006821906,0.01159027,0.004830711,0.0007765674,0.002362543,0.00226872,0.008631348,0.09357791,0.06383844,0.4269104,0.3826334],"study_design_scores_gemma":[0.0002897153,0.0001893311,0.005083904,0.000664665,0.0003112788,0.001083235,0.0003479765,0.01679743,0.03238209,0.02080373,0.9218482,0.0001982909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03584286,0.005194412,0.5146543,0.002503113,0.001568412,0.001124085,0.1691454,0.2307011,0.03926635],"genre_scores_gemma":[0.04835478,0.003934319,0.4824407,0.001072588,0.0002055479,0.0006737671,0.4321885,0.02014411,0.01098572],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01009381,"threshold_uncertainty_score":0.03376716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1985613511743355,"score_gpt":0.4077981111123947,"score_spread":0.2092367599380592,"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."}}