{"id":"W2139492976","doi":"10.1002/cem.1171","title":"The PLS model space revisited","year":2008,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Space (punctuation); Latent variable; Mathematics; Applied mathematics; Variable (mathematics); Computer science; Algorithm; Statistics; Artificial intelligence; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0004417593,0.0001748787,0.0004088901,0.0006278195,0.0002927055,0.00005838898,0.0006262785,0.0001373542,0.0002196938],"category_scores_gemma":[0.002310415,0.0001141678,0.0003251629,0.003728743,0.0001236744,0.0001707682,0.00006234382,0.0005789546,0.0000162439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792109,"about_ca_system_score_gemma":0.0001657897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001629879,"about_ca_topic_score_gemma":1.416569e-7,"domain_scores_codex":[0.9981173,0.00001119812,0.0006239793,0.0001353714,0.0007904279,0.0003217427],"domain_scores_gemma":[0.9977266,0.0004872237,0.0007343468,0.0003507234,0.0005191913,0.0001819089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009074186,0.001683209,0.06534486,0.000506368,0.002966664,0.0009747489,0.001446523,0.00403369,0.3696305,0.006042359,0.5331091,0.01335452],"study_design_scores_gemma":[0.002145412,0.000147943,0.0007608882,0.00005983856,0.0006615312,0.001924749,0.0005959661,0.005128399,0.8956507,0.002820523,0.08947182,0.0006322153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8539079,0.03347427,0.01688759,0.002713037,0.0002270364,0.00006532405,0.00001456368,0.00007544481,0.0926348],"genre_scores_gemma":[0.9756131,0.007376364,0.002542817,0.0001561055,0.0004205895,9.56829e-7,0.00000141321,0.0000274354,0.01386123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5260202,"threshold_uncertainty_score":0.4655628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309842066126086,"score_gpt":0.2759892706595332,"score_spread":0.2450050640469246,"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."}}