{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001297815,0.0001073759,0.0001592768,0.0003782295,0.00002412408,0.00004216267,0.0001786381,0.00009515404,0.00003313365],"category_scores_gemma":[0.00001763801,0.0001076711,0.00005412112,0.001025381,0.000005337934,0.00007057966,0.00002872798,0.0001429764,0.0002241826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000600664,"about_ca_system_score_gemma":0.000006106127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714086,"about_ca_topic_score_gemma":0.000001514171,"domain_scores_codex":[0.9992721,0.000003375923,0.0001812691,0.0001318043,0.0001793915,0.0002320744],"domain_scores_gemma":[0.9996184,0.00001617562,0.00001761389,0.0002732565,0.00002798711,0.00004663108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004816945,0.00003073058,0.009736945,0.0001275281,0.00004197454,0.000006015194,0.00005188878,0.9181662,0.004206512,0.01074389,0.0001490983,0.05673435],"study_design_scores_gemma":[0.0002092492,0.00002205324,0.0001045685,0.00001242367,0.000004893966,0.000002018866,0.00004784018,0.9972875,0.00005053441,0.0001588012,0.00195388,0.0001462518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825253,0.0009656423,0.1081543,0.00001696813,0.0004213336,0.0001941269,0.00001329512,0.0008387496,0.006870335],"genre_scores_gemma":[0.9995193,0.00004113844,0.0002053049,0.000008470714,0.00006371314,0.00001489714,0.00000471106,0.00003289069,0.0001095872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116994,"threshold_uncertainty_score":0.43907,"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."}}