{"id":"W6929798451","doi":"10.5281/zenodo.10376334","title":"Orcevia sica Yu & Maddison & Zhang 2023, comb. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sphingolipid Metabolism and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Paratype; Carapace; Dorsum; Zhàng; Holotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003255755,0.001543209,0.0006380563,0.002342408,0.002094801,0.0007924036,0.0008408689,0.001313536,0.0182383],"category_scores_gemma":[0.0009306584,0.0003489857,0.000603456,0.001634742,0.0008909226,0.001866994,0.001185099,0.0009051075,0.008824824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006072746,"about_ca_system_score_gemma":0.000764308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0108505,"about_ca_topic_score_gemma":0.02007257,"domain_scores_codex":[0.9996106,0.00004162564,0.00004825279,0.0001051265,0.0001292075,0.00006523997],"domain_scores_gemma":[0.9996104,0.00005390785,0.0001031938,0.00005713102,0.0001380887,0.0000373218],"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":[0.0004645187,0.0001283731,0.01733891,0.00119547,0.0001407477,0.004476397,0.0008531357,0.0009536732,0.0124101,0.005059248,0.08775129,0.8692281],"study_design_scores_gemma":[0.0001717871,0.0001844143,0.09717967,0.001240601,0.0002604883,0.007793795,0.00104455,0.001269036,0.001599432,0.002188588,0.887006,0.00006162066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1292838,0.03714032,0.01281029,0.001950312,0.004405991,0.001517843,0.01394618,0.001782583,0.7971626],"genre_scores_gemma":[0.7943265,0.02301257,0.02327152,0.005707525,0.001621993,0.001325705,0.01816801,0.0005192622,0.132047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0182383,"threshold_uncertainty_score":0.06101322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791505565523537,"score_gpt":0.2519944523279097,"score_spread":0.2240793966726743,"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."}}