{"id":"W2528044297","doi":"10.1108/ijchm-03-2015-0110","title":"Supply chain quality management: an empirical study","year":2016,"lang":"en","type":"article","venue":"International Journal of Contemporary Hospitality Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"LISREL; Business; Originality; Structural equation modeling; Hospitality; Hospitality industry; Supply chain management; Marketing; Moderation; Supply chain; Quality (philosophy); Empirical research; Knowledge management; Process management; Psychology; Tourism; Computer science; Creativity","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":[0.004571453,0.0002298297,0.0002786801,0.00291988,0.001643079,0.00305513,0.0006808498,0.0006740351,0.006613156],"category_scores_gemma":[0.0127358,0.0003091729,0.0003604833,0.007579382,0.001024677,0.002445174,0.001425768,0.000788772,0.0005182422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003874463,"about_ca_system_score_gemma":0.004335643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00813019,"about_ca_topic_score_gemma":0.007276925,"domain_scores_codex":[0.9967843,0.001186491,0.0003671623,0.0002952734,0.000959578,0.0004072283],"domain_scores_gemma":[0.9778423,0.01174127,0.004556023,0.0008572669,0.003781321,0.001221718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001666077,0.001905292,0.8879985,0.001401062,0.00007962941,0.0009273725,0.01680267,0.001531417,0.0006628698,0.006971398,0.001853277,0.0797],"study_design_scores_gemma":[0.00008308664,0.001459918,0.8391131,0.001466012,0.0002132067,0.0008083438,0.1202148,0.009641211,0.001673361,0.002365696,0.02290459,0.00005671964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847667,0.0008113871,0.002047046,0.0005424896,0.00001410338,0.0003447747,0.0003759923,0.00001818375,0.0110794],"genre_scores_gemma":[0.9962944,0.0006991395,0.00145066,0.0000964987,0.00001629455,0.0001112743,0.0002776191,0.000003698199,0.001050434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00813019,"threshold_uncertainty_score":0.02811134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04591038735786999,"score_gpt":0.3318380099345467,"score_spread":0.2859276225766767,"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."}}