{"id":"W2082920669","doi":"10.1016/j.gexplo.2014.03.022","title":"Compositional data analysis in geochemistry: Are we sure to see what really occurs during natural processes?","year":2014,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":156,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Compositional data; Spurious relationship; Computer science; Constraint (computer-aided design); Field (mathematics); Data mining; Data science; Geology; Information retrieval; Earth science; Mathematics","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":[0.01356606,0.0009201011,0.001785493,0.002477467,0.001422157,0.006659979,0.002544173,0.003446073,0.002001218],"category_scores_gemma":[0.05913629,0.001190009,0.001070698,0.004112596,0.007649899,0.02162159,0.002696028,0.0054877,0.001204125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656019,"about_ca_system_score_gemma":0.003624973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007586986,"about_ca_topic_score_gemma":0.01151325,"domain_scores_codex":[0.9948654,0.001847983,0.0003958725,0.0008767468,0.00176328,0.0002507099],"domain_scores_gemma":[0.9593344,0.02814011,0.00202138,0.003649931,0.005483854,0.001370397],"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":[0.0006604447,0.0004369713,0.0849409,0.003088926,0.0005997582,0.0002788794,0.003553363,0.007514998,0.02151415,0.07299022,0.02962142,0.7748],"study_design_scores_gemma":[0.0001241552,0.0001933275,0.03757253,0.001588463,0.0004005186,0.0007264149,0.006635988,0.07973247,0.03184736,0.7470056,0.09370445,0.0004687532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1401667,0.05172476,0.6743641,0.1184612,0.002643466,0.0001298265,0.001919977,0.004757675,0.005832172],"genre_scores_gemma":[0.5207561,0.01746052,0.4452521,0.009271292,0.002028349,0.0002308703,0.0008682521,0.001723834,0.002408642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9864339,"threshold_uncertainty_score":0.07174504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895740859176419,"score_gpt":0.2664139633340933,"score_spread":0.2374565547423292,"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."}}