{"id":"W6912003567","doi":"10.5281/zenodo.13915088","title":"Carinogalumna meridaensis Ermilov, 2024, sp. nov.","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Holotype; Bent molecular geometry; Dorsum; Paratype","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":[0.0001743994,0.001000461,0.0005270233,0.0019333,0.00123078,0.0006251796,0.00093215,0.0007904427,0.0062758],"category_scores_gemma":[0.0004829995,0.0003356559,0.0002057504,0.001202796,0.0004606883,0.0008397548,0.0005926772,0.000648368,0.00295501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019233,"about_ca_system_score_gemma":0.0004512861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02525164,"about_ca_topic_score_gemma":0.07940598,"domain_scores_codex":[0.999846,0.00001271372,0.00001245778,0.00007311617,0.00002910613,0.00002661813],"domain_scores_gemma":[0.9997516,0.00003824572,0.0001063912,0.00003232537,0.00004885921,0.00002255751],"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":[0.001034726,0.0003221999,0.1646047,0.001658924,0.0003350787,0.004756644,0.003286145,0.002269537,0.04123963,0.001631212,0.02615135,0.7527099],"study_design_scores_gemma":[0.0001752908,0.0002421448,0.7764521,0.001179381,0.0003254678,0.009502453,0.002951253,0.001633265,0.002965308,0.0006884814,0.2038214,0.00006338407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.754113,0.04466087,0.007855466,0.001088444,0.00127364,0.001126003,0.01373148,0.001869241,0.1742819],"genre_scores_gemma":[0.9599239,0.006029367,0.01096248,0.0006604966,0.0001916685,0.0003692621,0.00710735,0.0001105017,0.01464497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02525164,"threshold_uncertainty_score":0.05020934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298737219638246,"score_gpt":0.2336940021336648,"score_spread":0.2107066299372823,"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."}}