{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02884717,0.001019644,0.001090173,0.003787793,0.002019521,0.001413406,0.0006353929,0.0005028441,0.003900093],"category_scores_gemma":[0.06389311,0.0004808119,0.002151372,0.00397448,0.001116518,0.001369079,0.001389764,0.001505149,0.0008205035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008710822,"about_ca_system_score_gemma":0.006289485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338658,"about_ca_topic_score_gemma":0.003973315,"domain_scores_codex":[0.9862207,0.005859813,0.001422846,0.001174838,0.004762247,0.0005595436],"domain_scores_gemma":[0.9359027,0.03222596,0.002939541,0.003711759,0.02430829,0.0009118008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005156133,0.001912372,0.70363,0.001099586,0.0008295362,0.0005174645,0.02420533,0.002756617,0.007019543,0.01390031,0.006557157,0.2370563],"study_design_scores_gemma":[0.0008203092,0.004285441,0.8593342,0.001535248,0.001274691,0.00064816,0.03763334,0.04264215,0.01196276,0.01474234,0.0248187,0.0003027418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749018,0.0003679692,0.09699683,0.001160495,0.0002896247,0.007213132,0.001961447,0.0002984157,0.01681026],"genre_scores_gemma":[0.9240271,0.0002300645,0.06535119,0.0001282894,0.00004505302,0.007221375,0.001515236,0.00005140042,0.001430359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02884717,"threshold_uncertainty_score":0.1525602,"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."}}