{"id":"W4321492229","doi":"10.5194/egusphere-egu23-1396","title":"Tephra compositional data: are we doing it right?","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Tephrochronology; Tephra; Compositional data; Identification (biology); Function (biology); Geology; Volcano; Discriminant function analysis; Computer science; Statistics; Mathematics; Geochemistry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03823814,0.001304513,0.002277116,0.007083572,0.001742761,0.009892846,0.005414416,0.005574515,0.01328279],"category_scores_gemma":[0.1390154,0.0009809387,0.001023822,0.008017616,0.007328209,0.02307283,0.004195971,0.009322251,0.01448998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002250502,"about_ca_system_score_gemma":0.004246085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01817321,"about_ca_topic_score_gemma":0.03020291,"domain_scores_codex":[0.9842276,0.00415704,0.002387021,0.002092839,0.006771835,0.0003636167],"domain_scores_gemma":[0.8893465,0.02481209,0.009097236,0.01531792,0.05556583,0.00586048],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000237594,0.0001131406,0.04366636,0.002350911,0.0002366637,0.0002699377,0.001730333,0.000432899,0.002555929,0.02267279,0.2791486,0.6465849],"study_design_scores_gemma":[0.00003933704,0.0001501659,0.03568352,0.00600066,0.0001771311,0.001124924,0.006133405,0.001628108,0.002314899,0.09726981,0.8491326,0.0003454933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02225651,0.1553182,0.09636473,0.6397566,0.03579626,0.000347233,0.01736751,0.002340273,0.03045265],"genre_scores_gemma":[0.1429743,0.1899971,0.4089924,0.1670137,0.03428442,0.0009636097,0.01606422,0.004438368,0.03527186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9617618,"threshold_uncertainty_score":0.202225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0989206392477281,"score_gpt":0.2992840171295642,"score_spread":0.2003633778818361,"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."}}