{"id":"W1967069051","doi":"10.1007/s11004-013-9497-7","title":"Projection Pursuit Multivariate Transform","year":2013,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Projection pursuit; Multivariate statistics; Gaussian; Projection (relational algebra); Multivariate normal distribution; Context (archaeology); Geostatistics; Computer science; Mathematics; Algorithm; Artificial intelligence; Data mining; Statistics; Geography; Spatial variability","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":[0.0005960296,0.000749963,0.0006581942,0.0007467453,0.0003055834,0.001443147,0.0004265918,0.0007024762,0.005321872],"category_scores_gemma":[0.002528707,0.0002996672,0.0005717065,0.001488394,0.0007844558,0.00135937,0.001629002,0.001722681,0.002766166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003232965,"about_ca_system_score_gemma":0.001049632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004115,"about_ca_topic_score_gemma":0.0007279488,"domain_scores_codex":[0.9995789,0.0001137689,0.00001597559,0.0000928567,0.0001739306,0.00002458063],"domain_scores_gemma":[0.9994621,0.0001519226,0.00005356973,0.0001240595,0.0001702498,0.00003807063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001287685,0.00006060445,0.0006642264,0.0001625163,0.00006559074,0.00009840226,0.00007853344,0.08168922,0.01621194,0.3819765,0.01638335,0.5024804],"study_design_scores_gemma":[0.00001525989,0.0000673152,0.0009279162,0.00003035002,0.00003301368,0.0003215302,0.00004491427,0.7807772,0.00886168,0.1783096,0.03057892,0.00003241094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003278796,0.0003494907,0.9901737,0.0003580379,0.0001103283,0.00001573685,0.0001431788,0.0002157326,0.005355051],"genre_scores_gemma":[0.3065126,0.005868935,0.6191843,0.0005944854,0.0008454261,0.0002235375,0.001899644,0.000600455,0.06427057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005321872,"threshold_uncertainty_score":0.01780337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704581197286067,"score_gpt":0.247180140883342,"score_spread":0.2301343289104813,"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."}}