{"id":"W2620832508","doi":"","title":"The public library catalogue as a social space: transaction log analysis of user interaction with social discovery systems","year":2010,"lang":"en","type":"article","venue":"International Conference on Dublin Core and Metadata Applications","topic":"Web and Library Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Relevance (law); World Wide Web; Computer science; Space (punctuation); Library catalog; Database transaction; Transaction log; Library classification; Information retrieval; Library science; Political science; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00330751,0.0002706615,0.0005647503,0.00334346,0.0008902472,0.003351182,0.0007977997,0.0007181793,0.003954122],"category_scores_gemma":[0.02555771,0.0002996112,0.0005488947,0.0041754,0.0009349337,0.003882564,0.001372458,0.0007965174,0.00118853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178838,"about_ca_system_score_gemma":0.001035006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255589,"about_ca_topic_score_gemma":0.008136972,"domain_scores_codex":[0.9950172,0.002653566,0.0003029589,0.000333638,0.001450426,0.000242213],"domain_scores_gemma":[0.9722234,0.02144553,0.00162503,0.001997588,0.002066825,0.0006417003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002995897,0.002150806,0.6095716,0.0005896993,0.0004225397,0.001249251,0.04059965,0.02594618,0.006433969,0.03044668,0.01035197,0.2692419],"study_design_scores_gemma":[0.00009516732,0.0006594145,0.2905815,0.00008107005,0.0001640869,0.0008045401,0.02272868,0.6464086,0.004547254,0.01953517,0.01417692,0.0002176177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969888,0.0002075161,0.01956996,0.0005266389,0.00002388501,0.0001917174,0.001539176,0.0005825907,0.007470404],"genre_scores_gemma":[0.9932657,0.00005599564,0.004164278,0.00002885136,0.00001361396,0.0001197883,0.0009616649,0.00004928053,0.001340869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255589,"threshold_uncertainty_score":0.02496564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209464041971819,"score_gpt":0.2936822564994431,"score_spread":0.2515876160797249,"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."}}