{"id":"W2987479138","doi":"10.1080/00401706.2019.1679543","title":"Partial Least Squares Path Modeling","year":2019,"lang":"en","type":"article","venue":"Technometrics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Path (computing); Mathematics; Partial least squares regression; Statistics; Econometrics; Computer science","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":[0.0003942769,0.001055678,0.0009876767,0.0009054401,0.0005839961,0.001036857,0.001276407,0.001060359,0.006496694],"category_scores_gemma":[0.001557104,0.000750707,0.001146836,0.001814,0.0004402639,0.001170546,0.0009953035,0.001222243,0.004709982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459265,"about_ca_system_score_gemma":0.001700933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009130959,"about_ca_topic_score_gemma":0.01043823,"domain_scores_codex":[0.9994335,0.0001173594,0.00001734049,0.0001899833,0.0001924333,0.00004941466],"domain_scores_gemma":[0.9995153,0.0001277249,0.00004328026,0.0001339888,0.0001607224,0.00001899725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005609778,0.00004400051,0.0006850246,0.0001083573,0.00007052974,0.00004983443,0.0000612631,0.7170591,0.003927391,0.02315915,0.005164354,0.2496149],"study_design_scores_gemma":[0.000003120789,0.00001818934,0.0002046342,0.000005807206,0.000009165269,0.0000301166,0.000009430548,0.989233,0.001174908,0.005276535,0.004026785,0.000008382832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002296458,0.00008703197,0.9949569,0.00005230907,0.00003182439,0.00002472108,0.000226987,0.0007303858,0.001593435],"genre_scores_gemma":[0.3425868,0.0008123999,0.6156374,0.0001338368,0.00008985524,0.0003710577,0.003246093,0.000850676,0.03627196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009130959,"threshold_uncertainty_score":0.02173364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005966034089177337,"score_gpt":0.1702066757579052,"score_spread":0.1642406416687278,"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."}}