{"id":"W1543080400","doi":"10.18438/b8131g","title":"Low Response Rate and Other Factors Render Academic Health Science Library System Study Ungeneralizable","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health science; Computer science; Library science; Academic library; Data science; Medical education; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1700982,0.001002786,0.001635494,0.004969563,0.003451473,0.003920095,0.003193975,0.001712564,0.02131665],"category_scores_gemma":[0.2881623,0.0009838954,0.0008532652,0.007689867,0.002982024,0.004599287,0.003921082,0.002129882,0.007281804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004014377,"about_ca_system_score_gemma":0.009109694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007478612,"about_ca_topic_score_gemma":0.008178099,"domain_scores_codex":[0.7521274,0.1751487,0.01748051,0.009339104,0.04060991,0.005294418],"domain_scores_gemma":[0.6766361,0.221526,0.03287725,0.02750207,0.03695544,0.004503181],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002516281,0.003857045,0.6699501,0.009355973,0.0004847537,0.001540603,0.02426373,0.002097171,0.003035576,0.0148111,0.09276728,0.1753204],"study_design_scores_gemma":[0.00105222,0.005482465,0.7045515,0.005968532,0.0003646,0.002159728,0.03668102,0.01433311,0.008724543,0.02320676,0.197259,0.0002164702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6367967,0.004100975,0.09371625,0.03859301,0.003443271,0.07886232,0.01844451,0.001502049,0.1245409],"genre_scores_gemma":[0.8871285,0.001136762,0.02243261,0.01687671,0.001120951,0.06031535,0.002767168,0.0002509409,0.007970951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8299018,"threshold_uncertainty_score":0.8995758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355535999585116,"score_gpt":0.4646735694656638,"score_spread":0.3291199695071522,"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."}}