{"id":"W4407956463","doi":"10.1007/s12145-025-01811-2","title":"Rotation-based outlier detection for geochemical anomaly identification in stream sediment multivariate data","year":2025,"lang":"en","type":"article","venue":"Earth Science Informatics","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"James Cook University","keywords":"Multivariate statistics; Anomaly (physics); Outlier; Anomaly detection; Sediment; Geology; Identification (biology); Rotation (mathematics); Multivariate analysis; Data mining; Computer science; Artificial intelligence; Geomorphology; Physics; Machine learning","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":[0.002201122,0.001138715,0.001317059,0.002582316,0.0004419304,0.0008410897,0.00082936,0.0005232714,0.0007036005],"category_scores_gemma":[0.007733273,0.0001682705,0.001223166,0.00245769,0.0005235351,0.0007409338,0.0008302009,0.0007773978,0.0004703601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005854568,"about_ca_system_score_gemma":0.001085433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007766939,"about_ca_topic_score_gemma":0.006398938,"domain_scores_codex":[0.9981511,0.0004335671,0.0002207252,0.0004668459,0.0005331369,0.0001945823],"domain_scores_gemma":[0.9970203,0.001024513,0.0007115959,0.0003601128,0.0007586763,0.0001247806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001190285,0.0003378427,0.09468085,0.0004347071,0.0005965059,0.0003781192,0.0002132765,0.2887809,0.01993041,0.001564562,0.00559847,0.5862941],"study_design_scores_gemma":[0.00002744212,0.0001970694,0.02408125,0.00002282264,0.00005332819,0.0001924721,0.00013311,0.9649162,0.00754156,0.001069381,0.001723314,0.00004202457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4494415,0.001958537,0.5386974,0.0003888996,0.0001727971,0.0001941036,0.002578403,0.005468274,0.001099982],"genre_scores_gemma":[0.8681976,0.0003929711,0.1259691,0.0000601828,0.00007328561,0.0001153793,0.004491688,0.0001184067,0.0005814017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007766939,"threshold_uncertainty_score":0.01544344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164965765759234,"score_gpt":0.282091829598641,"score_spread":0.2604421719410486,"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."}}