{"id":"W7079638832","doi":"10.5281/zenodo.17031393","title":"Elachisoma aterrimum","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":"Nearctic ecozone; Distribution (mathematics); Manure; Czech; Delta","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":[0.0001613061,0.0005144819,0.0002856742,0.001244285,0.001288146,0.0003723348,0.0004257042,0.0004694269,0.01060466],"category_scores_gemma":[0.0002599328,0.0001725633,0.0001586976,0.0007545376,0.0004596487,0.0007600775,0.0007164829,0.0004363423,0.003519821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105357,"about_ca_system_score_gemma":0.0001986094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00605034,"about_ca_topic_score_gemma":0.01464387,"domain_scores_codex":[0.9998528,0.0000232713,0.00001213639,0.00005076457,0.00003454001,0.00002642724],"domain_scores_gemma":[0.9998543,0.00003187125,0.00003994584,0.00001247175,0.00004423808,0.00001718449],"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":[0.001669552,0.0002970854,0.08686133,0.001823088,0.0001635729,0.008692385,0.007139392,0.0009835194,0.09774508,0.007772915,0.04001749,0.7468346],"study_design_scores_gemma":[0.0001491482,0.0006608861,0.5473617,0.0004680232,0.0001641685,0.01046575,0.005961237,0.0004094989,0.005426348,0.001721617,0.4271607,0.00005092701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6331547,0.01368427,0.004137674,0.001147632,0.0006239013,0.0002836486,0.003857072,0.0005025843,0.3426084],"genre_scores_gemma":[0.9586465,0.002534545,0.002575731,0.0009845489,0.0001968268,0.00007847453,0.001865971,0.00002075548,0.03309677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01060466,"threshold_uncertainty_score":0.03547609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056827816702582,"score_gpt":0.2287458138667479,"score_spread":0.2081775356997221,"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."}}