{"id":"W6893963877","doi":"10.5281/zenodo.5967132","title":"Pleocoma laker Marshall 2018, new species","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Type locality; Arthropod; Groove (engineering); Holotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002265962,0.0007513636,0.0003362975,0.001573257,0.002186096,0.0009104732,0.001145389,0.0006120136,0.04856275],"category_scores_gemma":[0.0007735718,0.0002604493,0.000193709,0.0009710042,0.0008673164,0.00261517,0.001989672,0.001624445,0.01148839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051502,"about_ca_system_score_gemma":0.000798572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00888642,"about_ca_topic_score_gemma":0.02146209,"domain_scores_codex":[0.9997104,0.00002477859,0.00002305611,0.00008970707,0.0001070274,0.00004506644],"domain_scores_gemma":[0.9997041,0.00003635718,0.00009944625,0.00004163056,0.0000700151,0.00004851326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003319577,0.0001449088,0.0219362,0.001255045,0.0000821508,0.004104511,0.004022015,0.0003533085,0.01385874,0.01702217,0.1884236,0.7484655],"study_design_scores_gemma":[0.00004167518,0.00009922044,0.04946272,0.0006058322,0.00009788958,0.004800189,0.001529081,0.0003137836,0.00111716,0.002671713,0.9392267,0.00003400745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.115874,0.01593425,0.007824829,0.00342325,0.001275124,0.0008195554,0.004670717,0.002321574,0.8478566],"genre_scores_gemma":[0.7870603,0.008587294,0.01247122,0.002064579,0.001299098,0.0007422121,0.005644344,0.0004019927,0.1817291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04856275,"threshold_uncertainty_score":0.1624585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159437940257591,"score_gpt":0.2438178629462444,"score_spread":0.2022234835436685,"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."}}