{"id":"W4400166382","doi":"10.1016/j.gexplo.2024.107539","title":"A comparison of PCA and ICA in geochemical pattern recognition of soil data: The case of Cyprus","year":2024,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Independent component analysis; Geology; Principal component analysis; Pattern recognition (psychology); Geochemistry; Soil science; Artificial intelligence; Computer science","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":[0.001428234,0.0004722812,0.0004368257,0.00135911,0.000339378,0.001568609,0.0003820928,0.0006153308,0.001475263],"category_scores_gemma":[0.003300168,0.000162398,0.0004256928,0.001533876,0.0005426428,0.000757552,0.0003767713,0.0003518655,0.0004021376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568185,"about_ca_system_score_gemma":0.0007573124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02357959,"about_ca_topic_score_gemma":0.02219384,"domain_scores_codex":[0.9994172,0.0002679059,0.00002947857,0.00009901416,0.0001212646,0.00006524265],"domain_scores_gemma":[0.9980397,0.001317727,0.00006520195,0.000117464,0.0004224001,0.00003762818],"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":[0.002226979,0.0002538657,0.02954791,0.0004121905,0.0003724804,0.001212254,0.0007294697,0.168845,0.04793814,0.009938946,0.00386882,0.7346539],"study_design_scores_gemma":[0.00004093114,0.0002656764,0.06475542,0.00003717576,0.0002089126,0.0005188498,0.0005973144,0.9174427,0.01021233,0.00271506,0.003158181,0.0000474599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7264491,0.003014465,0.2550027,0.001043757,0.000156916,0.00009710529,0.000564762,0.001070547,0.01260062],"genre_scores_gemma":[0.9343331,0.0010043,0.06232414,0.00004285662,0.00008148937,0.00002214918,0.000288037,0.00006631872,0.001837522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02357959,"threshold_uncertainty_score":0.04688472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09120198717378264,"score_gpt":0.3242350007072307,"score_spread":0.233033013533448,"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."}}