{"id":"W7099686231","doi":"","title":"Evidence Based Library and Information Practice Article Analyzing Public Library Service Interactions to Improve Public Library Customer","year":2011,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Service (business); Work (physics); The Internet; Thematic analysis; Process (computing); Usability; License; Database transaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04133105,0.0005567919,0.001059594,0.01043465,0.00218587,0.005564956,0.002719099,0.002123668,0.008237025],"category_scores_gemma":[0.134042,0.0005816347,0.0007450777,0.01450854,0.003124991,0.004941189,0.003083147,0.001812192,0.0006332696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01291774,"about_ca_system_score_gemma":0.04204095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03511924,"about_ca_topic_score_gemma":0.06686655,"domain_scores_codex":[0.9610645,0.02856784,0.003249924,0.0006988515,0.005515003,0.0009039313],"domain_scores_gemma":[0.8894517,0.0832587,0.006765848,0.002327374,0.01504326,0.003153204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002604878,0.001936504,0.04624991,0.07347513,0.0009504564,0.0004758972,0.03879383,0.0007595657,0.0001257098,0.01304273,0.06049035,0.7634395],"study_design_scores_gemma":[0.0008628608,0.001203778,0.1369322,0.4734305,0.002244433,0.0007548198,0.1853497,0.001615039,0.0009633902,0.01826522,0.1781983,0.0001798137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1775637,0.4800451,0.01502673,0.1546264,0.002178511,0.005925625,0.001889242,0.0003141211,0.1624306],"genre_scores_gemma":[0.7587453,0.1974817,0.03202165,0.005323711,0.0001907871,0.003197472,0.0005732798,0.00003851864,0.002427701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04133105,"threshold_uncertainty_score":0.218582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03735102457146654,"score_gpt":0.2297179308268042,"score_spread":0.1923669062553376,"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."}}