{"id":"W2071090551","doi":"10.1002/cem.680","title":"Interpretation of regression coefficients under a latent variable regression model","year":2001,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Mathematics; Statistics; Regression diagnostic; Latent variable; Regression analysis; Linear regression; Segmented regression; Proper linear model; Partial least squares regression; Standardized coefficient; Linear predictor function; Polynomial regression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02905577,0.001456328,0.001172057,0.004306172,0.0005366689,0.005894569,0.002769589,0.00291198,0.009051931],"category_scores_gemma":[0.1264434,0.0007114076,0.001223721,0.005795024,0.004623471,0.006475557,0.002707381,0.008243369,0.002133616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713571,"about_ca_system_score_gemma":0.001803483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00346698,"about_ca_topic_score_gemma":0.001109058,"domain_scores_codex":[0.9708623,0.01939894,0.001052314,0.00229375,0.005443083,0.0009497936],"domain_scores_gemma":[0.8959424,0.08224759,0.007999459,0.004734906,0.008418919,0.0006567722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000373878,0.00003049484,0.001792802,0.0001625248,0.00006692383,0.000111577,0.0004610479,0.03217619,0.000373332,0.9372907,0.004170543,0.0233265],"study_design_scores_gemma":[0.00004139507,0.00005792389,0.001909992,0.0002860174,0.00004708083,0.0001746796,0.000349112,0.1302188,0.0005640034,0.8549828,0.01129883,0.00006931511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009556186,0.0006890208,0.9773272,0.0021501,0.0002787589,0.00007111594,0.0004951721,0.0002629837,0.009169583],"genre_scores_gemma":[0.6147003,0.002465891,0.3681121,0.001952726,0.0009443126,0.0009916255,0.001458033,0.000792743,0.008582311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02905577,"threshold_uncertainty_score":0.1536634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813926701004112,"score_gpt":0.3085553559105928,"score_spread":0.2804160889005517,"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."}}