{"id":"W4406692295","doi":"10.20858/tp.2019.14.1.13","title":"CONFIRMATORY FACTOR ANALYSIS FOR TESTING THE VALIDITY AND RELIABILITY OF AN INTERNAL CAPABILITY AND LOGISTICS OUTSOURCING MEASUREMENT SCALE","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Outsourcing; Confirmatory factor analysis; Reliability (semiconductor); Scale (ratio); Reliability engineering; Validity; Computer science; Business; Statistics; Engineering; Mathematics; Structural equation modeling; Psychometrics; Marketing; Geography; Machine learning; Cartography","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006048284,0.0003064224,0.000862625,0.0005466079,0.000323366,0.001370299,0.001230944,0.00007830975,0.0004981695],"category_scores_gemma":[0.001552213,0.0002295141,0.0001969688,0.0007528713,0.000254713,0.001686432,0.001066219,0.0002627493,0.000001751938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000819028,"about_ca_system_score_gemma":0.00004049542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003903979,"about_ca_topic_score_gemma":0.0002440815,"domain_scores_codex":[0.9972202,0.0001683171,0.0009421281,0.0005654161,0.0007706512,0.0003332791],"domain_scores_gemma":[0.9965099,0.0006768373,0.001159785,0.0006533802,0.0009359914,0.00006407141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001061076,0.0001463558,0.9881588,0.0007070023,0.0001708604,0.000001065969,0.0001757456,0.004063377,0.003579199,0.00003439046,0.0003091311,0.002547984],"study_design_scores_gemma":[0.0005005081,0.00001206892,0.9641078,0.0001720262,0.0006087035,8.598101e-7,0.0005814922,0.0292686,0.0005429358,0.002528076,0.001392617,0.0002843572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838901,0.0004065114,0.01331076,0.0002117446,0.0002904425,0.0009479225,0.00003509231,0.0000339331,0.0008734965],"genre_scores_gemma":[0.9989887,0.00006090991,0.0004655531,0.0002080752,0.0001850526,0.00002397386,0.000007740257,0.00002801266,0.0000319552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02520522,"threshold_uncertainty_score":0.9996664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2937171968379409,"score_gpt":0.4551896136392756,"score_spread":0.1614724168013347,"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."}}