{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002882579,0.0001079814,0.00008831823,0.0001271163,0.001947046,0.0007693473,0.00178174,0.00004277737,0.008734869],"category_scores_gemma":[0.0001082618,0.0001109952,0.00004058184,0.0006604752,0.0001713696,0.0004712754,0.00148506,0.0001393674,0.02553458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007209709,"about_ca_system_score_gemma":0.000007257072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000134101,"about_ca_topic_score_gemma":5.785252e-7,"domain_scores_codex":[0.9987009,0.00009981952,0.0001777018,0.0004074342,0.0003032118,0.0003108927],"domain_scores_gemma":[0.998664,0.00001720948,0.00006799688,0.0006803075,0.0003725248,0.0001979883],"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":[0.000004963062,0.00007433477,0.000003559934,0.000004402425,0.00001116432,0.000003371372,0.0005092052,0.000005460305,0.001515329,0.1607992,0.7703961,0.06667288],"study_design_scores_gemma":[0.0002159302,0.0001394161,0.002809209,0.000008610824,0.000002774409,0.00007008152,0.00003988066,0.002634163,0.0003114234,0.00305678,0.9905776,0.0001340738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002098236,0.00007410102,0.6039906,0.007017861,0.0002113951,0.0003538297,0.00005418294,0.001455779,0.384744],"genre_scores_gemma":[0.6879829,0.0002721098,0.1458026,0.002684044,0.005197269,3.182143e-7,0.00169007,0.002840072,0.1535306],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6858847,"threshold_uncertainty_score":0.9993523,"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."}}