{"id":"W6969229337","doi":"10.5281/zenodo.5661166","title":"Jembra kuanae Shih, sp. nov.","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rostrum; Apex (geometry); Dorsum; Head (geology); Wing","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":[0.0001317707,0.0007644945,0.0003234038,0.001431258,0.00097161,0.0005674796,0.0003821066,0.0004490431,0.005246245],"category_scores_gemma":[0.0003031201,0.0002525383,0.0001411224,0.001674147,0.0004190677,0.0005678873,0.0006109885,0.0004200047,0.001825449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000338384,"about_ca_system_score_gemma":0.0002783853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219007,"about_ca_topic_score_gemma":0.0348897,"domain_scores_codex":[0.9999011,0.00001206849,0.00001397089,0.00002928725,0.00001823301,0.00002543211],"domain_scores_gemma":[0.9998902,0.00001516536,0.00003120416,0.00001468718,0.00003028353,0.00001847005],"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":[0.0007917716,0.0003843072,0.2447174,0.004387625,0.0004207101,0.02576863,0.01009871,0.001165034,0.09961326,0.003411075,0.0524702,0.5567713],"study_design_scores_gemma":[0.00006286491,0.0001140691,0.7789234,0.000687682,0.0001699317,0.01285983,0.005053566,0.0003570504,0.002308781,0.0003771904,0.1990333,0.00005237239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.856622,0.02850488,0.001682809,0.001049704,0.0009938906,0.0007257555,0.00941069,0.0004811608,0.1005291],"genre_scores_gemma":[0.9454719,0.01009218,0.007082884,0.001560036,0.0002099802,0.0003404541,0.01091649,0.00006583075,0.02426013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219007,"threshold_uncertainty_score":0.02423823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216183126290324,"score_gpt":0.234385494515012,"score_spread":0.2122236632521087,"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."}}