{"id":"W2018788470","doi":"10.1300/j050v13n01_06","title":"An Update on the Use of Ranks in Calibrating and Marketing Higher Education","year":2004,"lang":"en","type":"article","venue":"Journal of Marketing for HIGHER EDUCATION","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Higher education; Ranking (information retrieval); Globe; Rank (graph theory); Marketing; Welfare; Advertising; Public relations; Psychology; Political science; Sociology; Business; Computer science; Mathematics; Information retrieval; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04178679,0.0007310312,0.001005686,0.01579725,0.001267091,0.009138439,0.001588878,0.001113755,0.003791032],"category_scores_gemma":[0.1094252,0.0005798156,0.0006122339,0.01997207,0.002728611,0.005435582,0.002022195,0.002678845,0.002489903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005261651,"about_ca_system_score_gemma":0.006037785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03934918,"about_ca_topic_score_gemma":0.09655207,"domain_scores_codex":[0.9679617,0.01293063,0.003625099,0.0009993059,0.0139458,0.0005374867],"domain_scores_gemma":[0.7459758,0.1467943,0.00997472,0.01161634,0.08263175,0.003007106],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001092869,0.00009409109,0.01561161,0.001424617,0.00007564917,0.00007061709,0.001660712,0.0006043222,0.0004423154,0.01143195,0.1371856,0.8312892],"study_design_scores_gemma":[0.00001180932,0.0001393532,0.03126668,0.001756781,0.00006240166,0.0002282886,0.001377985,0.0007169442,0.0008559241,0.002288127,0.9611894,0.0001062096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08010832,0.3692787,0.0801865,0.1522477,0.03493109,0.0006803717,0.01227014,0.003363095,0.2669341],"genre_scores_gemma":[0.4516031,0.2573605,0.1764936,0.02231041,0.02120793,0.0003754753,0.007920807,0.00216209,0.06056604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9582132,"threshold_uncertainty_score":0.2209923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358308239707945,"score_gpt":0.2706924537364103,"score_spread":0.2348616297656158,"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."}}