{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000436315,0.0001992643,0.0005425129,0.001318257,0.00006103647,0.00003335037,0.0003849631,0.0002177737,0.0005015789],"category_scores_gemma":[0.0008672216,0.00014362,0.0002343298,0.003692795,0.00005359763,0.0002407851,0.00007811222,0.0004009843,0.000003727668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459123,"about_ca_system_score_gemma":0.0001323023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004471908,"about_ca_topic_score_gemma":1.588033e-7,"domain_scores_codex":[0.9978271,0.00001733662,0.0008564299,0.0001809411,0.0008658607,0.0002523448],"domain_scores_gemma":[0.9974112,0.0001910976,0.001296562,0.0002701467,0.0006776096,0.0001533665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001696245,0.002591234,0.02397354,0.0005726098,0.0006762357,0.00007284152,0.0006474644,0.08797537,0.849968,0.0005112785,0.00727738,0.02403777],"study_design_scores_gemma":[0.002495338,0.0002154085,0.0003335271,0.0006934543,0.0006202162,0.0002352029,0.0005354823,0.1220537,0.868948,0.002679319,0.000824849,0.0003654906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7310254,0.002780314,0.2546346,0.0001809357,0.0001797145,0.00003890503,0.000007814877,0.00002333862,0.01112901],"genre_scores_gemma":[0.9904236,0.0008099848,0.005855985,0.00007296516,0.00009331958,8.432854e-7,0.000006457489,0.00002368636,0.002713132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2593983,"threshold_uncertainty_score":0.5856654,"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."}}