{"id":"W1481336530","doi":"","title":"LibQUAL+TM at the University of Lethbridge: final report and recommendations","year":2005,"lang":"en","type":"article","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Lethbridge","keywords":"Library science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001048185,0.0001797912,0.0003018809,0.0001968921,0.001100467,0.0002641725,0.002162827,0.0001115353,0.0004347099],"category_scores_gemma":[0.00009869695,0.0001923761,0.0001205129,0.0007955949,0.000348596,0.004862328,0.002609177,0.0003251778,0.000084949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128421,"about_ca_system_score_gemma":0.0002979562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003483113,"about_ca_topic_score_gemma":0.0002677616,"domain_scores_codex":[0.9982951,0.0002470986,0.0002460272,0.0005336133,0.0004039648,0.000274237],"domain_scores_gemma":[0.9982717,0.000289855,0.0004120672,0.0006749186,0.0001729034,0.0001785399],"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":[0.001089678,0.0009164046,0.09490075,0.0001908422,0.0006750952,0.001118917,0.02153934,0.0002893685,0.003199725,0.03905202,0.4375184,0.3995095],"study_design_scores_gemma":[0.001513455,0.0001134186,0.1228637,0.00008870345,0.00003822961,0.0002253601,0.001259082,0.0005118728,0.001934285,0.0004998978,0.8705552,0.0003967498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619954,0.0002755605,0.01425666,0.04998101,0.0002200185,0.0006396516,0.00004706951,0.0001199179,0.0724647],"genre_scores_gemma":[0.8252748,0.0002672334,0.03650346,0.000631556,0.00004381393,3.773465e-7,0.0000501777,0.00001569345,0.1372129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4330368,"threshold_uncertainty_score":0.846401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04359579736070862,"score_gpt":0.2461137080090813,"score_spread":0.2025179106483727,"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."}}