{"id":"W6991833854","doi":"","title":"Impact of College Rankings on Institutional Decision Making: Four Country Case Studies","year":2009,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Quality (philosophy); Ranking (information retrieval); Resource allocation; Strategic planning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002304114,0.001297847,0.002585596,0.001357935,0.0005519822,0.00008914683,0.0006009373,0.0009658732,0.000711431],"category_scores_gemma":[0.003597939,0.001073039,0.0007726758,0.00150507,0.000570783,0.0002698351,0.0002661468,0.001111896,0.0009731431],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007241156,"about_ca_system_score_gemma":0.005933593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137422,"about_ca_topic_score_gemma":0.001950628,"domain_scores_codex":[0.9917557,0.0002149347,0.001729312,0.001249293,0.004095564,0.0009552168],"domain_scores_gemma":[0.9929621,0.0008986837,0.001939341,0.001348582,0.002597101,0.0002541429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003235966,0.0008487974,0.003388782,0.0006770118,0.003188986,0.07548402,0.0006727502,0.001656406,0.00008556788,0.0007452011,0.8988575,0.01115899],"study_design_scores_gemma":[0.006358523,0.002278253,0.018257,0.01244939,0.001703591,0.06268451,0.0002856452,0.0001430848,0.00008681864,0.001952532,0.8913723,0.002428362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7482538,0.0303161,0.00004279918,0.0000995895,0.00483385,0.00350783,0.03169021,0.0006995692,0.1805563],"genre_scores_gemma":[0.9902615,0.002297189,0.0005899131,0.00008826705,0.001975337,0.00006148397,0.0003809701,0.000324265,0.004021093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2420077,"threshold_uncertainty_score":0.9999773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06036155021577037,"score_gpt":0.4021565002594027,"score_spread":0.3417949500436323,"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."}}