{"id":"W4362578063","doi":"10.1038/s43017-023-00414-z","title":"Using principal component analysis to explore multi-variable relationships","year":2023,"lang":"en","type":"review","venue":"Nature Reviews Earth & Environment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Principal component analysis; Component (thermodynamics); Variable (mathematics); Component analysis; Principal (computer security); Computer science; Statistics; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002210528,0.0007119797,0.002599344,0.0004007057,0.000326521,0.0001188424,0.001467618,0.0008518935,0.000140925],"category_scores_gemma":[0.0004074922,0.0005660547,0.001094465,0.002325807,0.00003792693,0.0001306953,0.001157796,0.001951975,0.001443053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145308,"about_ca_system_score_gemma":0.00009356283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000606411,"about_ca_topic_score_gemma":0.000003346409,"domain_scores_codex":[0.9951987,0.0008535142,0.001326433,0.001437293,0.0005660412,0.0006180317],"domain_scores_gemma":[0.9965122,0.0002300904,0.0007643162,0.002132356,0.00002748197,0.0003335871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002699078,0.000408094,0.00009206418,0.0241236,0.002866445,0.0001528811,0.0005596325,0.02773653,0.00001728697,0.003543537,0.001333042,0.9391642],"study_design_scores_gemma":[0.00006035897,0.0000115635,0.00004409898,0.003607833,0.001509142,0.00001703121,0.000004770109,0.003648767,0.00000131188,0.00003292937,0.9905136,0.0005486597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000108837,0.8710985,0.1265508,0.0001018918,0.0002257852,0.001613654,0.00001556365,0.0001107579,0.000281958],"genre_scores_gemma":[0.000002267738,0.8406867,0.1563063,0.00009056963,0.0001190643,0.000258583,0.0001587558,0.00001742933,0.0023603],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9891805,"threshold_uncertainty_score":0.9996791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.273113258037792,"score_gpt":0.3601953588417277,"score_spread":0.08708210080393569,"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."}}