{"id":"W2885541621","doi":"10.1139/as-2018-0009","title":"Size metrics, longevity, and growth rates in <i>Umbellula encrinus</i> (Cnidaria: Pennatulacea) from the eastern Canadian Arctic.","year":2018,"lang":"en","type":"article","venue":"Arctic Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada","keywords":"Longevity; Arctic; Fishing; Bay; Annual growth %; Growth rate; Oceanography; Cnidaria; Coral; Geography; Biology; Physical geography; Ecology; Environmental science; Geology; Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001395817,0.0001467798,0.0001364183,0.0000988568,0.0005505331,0.0003219762,0.001093445,0.00005024875,0.002773554],"category_scores_gemma":[0.002546712,0.0001084509,0.0000239132,0.002065986,0.003315456,0.0005983993,0.001003989,0.0002687942,0.0002768387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000385329,"about_ca_system_score_gemma":0.0001868519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7970683,"about_ca_topic_score_gemma":0.6457016,"domain_scores_codex":[0.9976194,0.00009640936,0.0001862321,0.0006149758,0.0007472365,0.00073575],"domain_scores_gemma":[0.9984587,0.0005535984,0.00004488225,0.0004727875,0.00006685303,0.0004032062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007090693,0.00001660089,0.9941673,0.000002795449,0.000002443177,0.00001672722,0.0004975591,4.64314e-7,0.0002956047,0.0002372597,0.000323395,0.004432759],"study_design_scores_gemma":[0.000215564,0.00006185392,0.9849747,0.000009896773,0.000005951351,0.00001292254,0.0002307377,0.002115403,0.000358804,0.003830983,0.008006755,0.0001763563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207387,0.00003698952,0.00002813506,0.005321976,0.0002284107,0.0002728288,0.000008124193,0.00001238094,0.07335246],"genre_scores_gemma":[0.9969348,0.00004996193,0.0004733472,0.00141313,0.00007775804,0.00001075175,0.000001215062,0.000009147373,0.001029862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1513667,"threshold_uncertainty_score":0.9993969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664741877103397,"score_gpt":0.2460230690030119,"score_spread":0.2293756502319779,"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."}}