{"id":"W7079024848","doi":"10.5281/zenodo.17005951","title":"Pseudepipona (Pseudepipona) augusta","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Central asia; Historical record; Dozen; Quarter (Canadian coin)","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":[0.00007808973,0.000396386,0.0001488606,0.0004506437,0.0008394151,0.0002421786,0.0002722974,0.0003141195,0.008448267],"category_scores_gemma":[0.0002112221,0.0001032629,0.0001338653,0.0002365313,0.0004224034,0.0005794054,0.000598093,0.0003815084,0.0024147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103782,"about_ca_system_score_gemma":0.0001373895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008606,"about_ca_topic_score_gemma":0.002528328,"domain_scores_codex":[0.999927,0.000006296169,0.000006016974,0.00003148172,0.00001905439,0.00001019427],"domain_scores_gemma":[0.9999027,0.00001579226,0.00003155974,0.00001295431,0.00002518219,0.00001181489],"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":[0.0008523704,0.0002843963,0.132975,0.0009924836,0.00008754256,0.006548396,0.002133438,0.001363468,0.1913683,0.003831808,0.01089113,0.6486717],"study_design_scores_gemma":[0.00006750412,0.0004504987,0.7589955,0.0001516903,0.00004937925,0.01806746,0.001258305,0.0008313161,0.01089388,0.001431761,0.2077755,0.00002717646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553586,0.00224653,0.005063025,0.0004097995,0.0001998499,0.0001410038,0.002066668,0.00047689,0.1340376],"genre_scores_gemma":[0.9850757,0.0007536132,0.002464151,0.0001718992,0.00007834227,0.0000609401,0.0008086428,0.00002098463,0.01056583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008448267,"threshold_uncertainty_score":0.02826232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161280226559746,"score_gpt":0.2348325734794265,"score_spread":0.213219771213829,"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."}}