{"id":"W6949296405","doi":"10.5281/zenodo.3680918","title":"Ceratochodaeus eliotti Huchet 2019, new combination","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Pleistocene; Sea level; Fauna; Indian ocean","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":[0.0003638396,0.0003775074,0.0005832571,0.003346646,0.001217751,0.0009102586,0.0006753268,0.0005163384,0.009530215],"category_scores_gemma":[0.0007653703,0.0002730461,0.0002821255,0.001910879,0.0009543566,0.001373581,0.001383267,0.0006995252,0.002077956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008126817,"about_ca_system_score_gemma":0.0005316222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007119042,"about_ca_topic_score_gemma":0.02319805,"domain_scores_codex":[0.9995648,0.00002019404,0.00005351197,0.0001519905,0.0001334255,0.0000760536],"domain_scores_gemma":[0.999542,0.00006229767,0.0001385089,0.00008162108,0.0001089477,0.00006673946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009766564,0.000141308,0.2656669,0.0008412779,0.0001549076,0.00337124,0.005232236,0.0004371724,0.01751631,0.002140603,0.009239194,0.6942822],"study_design_scores_gemma":[0.00004989487,0.0003717821,0.734023,0.0005166846,0.0001880511,0.01078326,0.002948026,0.000616645,0.00209385,0.001154962,0.2471897,0.00006416944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8033088,0.008794529,0.005594607,0.000504716,0.0007415309,0.0004176747,0.005637835,0.0005465344,0.1744538],"genre_scores_gemma":[0.9748272,0.00215607,0.003591021,0.0003315692,0.0002297645,0.0001891802,0.004665208,0.00005351819,0.01395658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009530215,"threshold_uncertainty_score":0.03188175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659858614595057,"score_gpt":0.2247010652285868,"score_spread":0.1981024790826363,"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."}}