{"id":"W2903036882","doi":"10.1017/jpa.2018.73","title":"Morphometrics, growth characteristics, and phylogenetic implications of<i>Halysites catenularius</i>(Tabulata, Silurian, Estonia)","year":2018,"lang":"en","type":"article","venue":"Journal of Paleontology","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Research Foundation of Korea; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Polyphyly; Paleontology; Morphometrics; Biology; Phylogenetic tree; Phylogenetic relationship; Geology; Synonym (taxonomy); Zoology; Genus","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004455711,0.000149329,0.0004998816,0.0004504351,0.0001469027,0.00002064589,0.0003128263,0.0001720659,0.0001547832],"category_scores_gemma":[0.0002727651,0.0001242502,0.0001114495,0.0003900815,0.0007473461,0.0001441063,0.000003470274,0.0002123393,0.000007914859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002310146,"about_ca_system_score_gemma":0.00008470921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002527173,"about_ca_topic_score_gemma":0.008797682,"domain_scores_codex":[0.9985965,0.0001366739,0.0006430473,0.0001875405,0.0001566162,0.0002796369],"domain_scores_gemma":[0.9981356,0.0003475428,0.0007177622,0.0001846324,0.000434272,0.0001802219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005583566,0.00003011795,0.9703393,0.00001762447,0.0001046669,0.00001988668,0.0001709741,8.110833e-7,0.001211287,0.000301015,0.00006311863,0.02768536],"study_design_scores_gemma":[0.0003628381,0.0006589584,0.9957615,0.00001216256,0.0001285117,0.0005469566,0.00004495932,0.00006139283,0.0002013685,0.00188246,0.0002192601,0.0001196654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839281,0.009904497,0.0008143482,0.0007938051,0.0004414395,0.00007361877,0.00007411825,0.000006936571,0.003963107],"genre_scores_gemma":[0.9954648,0.0005767953,0.003621914,0.0000674289,0.0002526027,3.354282e-7,0.000005939311,0.000001314256,0.000008841675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0275657,"threshold_uncertainty_score":0.5066776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545926108968574,"score_gpt":0.2340566965488897,"score_spread":0.218597435459204,"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."}}