{"id":"W2297811769","doi":"10.18438/b87k8t","title":"Reflections on Using Patrons’ Stories as Practice-Based Evidence","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Data science","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":[0.2119737,0.00107514,0.001023391,0.002255516,0.01270746,0.02626933,0.007974298,0.03219536,0.008261126],"category_scores_gemma":[0.4985771,0.001952662,0.001991654,0.00254545,0.0415169,0.0406971,0.02203554,0.0607981,0.002029922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009973122,"about_ca_system_score_gemma":0.01232543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003813106,"about_ca_topic_score_gemma":0.004442701,"domain_scores_codex":[0.6672381,0.2887805,0.0102458,0.004908666,0.02221638,0.006610534],"domain_scores_gemma":[0.2836399,0.6358778,0.01399359,0.01718533,0.03709601,0.01220733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003450437,0.0002971854,0.001509503,0.002186635,0.0001372125,0.004704154,0.6826334,0.0005424175,0.001772004,0.08751345,0.1484689,0.0698901],"study_design_scores_gemma":[0.00009282828,0.0004006687,0.001080459,0.006281598,0.00008667058,0.002364438,0.3574184,0.000746051,0.002357755,0.03608633,0.5928633,0.0002215222],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01207516,0.003835806,0.006955919,0.9603194,0.006149965,0.0001981458,0.00004690052,0.0000946629,0.01032409],"genre_scores_gemma":[0.5170896,0.008721032,0.02682489,0.4214792,0.005315834,0.001471563,0.00007327447,0.0005125686,0.01851203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2119737,"threshold_uncertainty_score":0.9717767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08619822305873073,"score_gpt":0.4162601450839163,"score_spread":0.3300619220251856,"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."}}