{"id":"W2071976751","doi":"10.1353/lib.2012.0019","title":"Social Discovery Systems in Public Libraries: If We Build Them, Will They Come?","year":2012,"lang":"en","type":"article","venue":"Library trends","topic":"Web and Library Services","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); World Wide Web; Library classification; Computer science; Data science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0001453501,0.0003223659,0.0003836896,0.0003970742,0.0001944937,0.003018127,0.002236926,0.0001793863,0.0001917739],"category_scores_gemma":[0.000003583214,0.0002617023,0.0001455643,0.001406904,0.00006774389,0.08108045,0.001011498,0.000299628,0.00007797417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001404697,"about_ca_system_score_gemma":0.0001050394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000385329,"about_ca_topic_score_gemma":0.000002405699,"domain_scores_codex":[0.997636,0.0002748808,0.0004259159,0.0004546723,0.0003577259,0.0008508186],"domain_scores_gemma":[0.9987479,0.0001731272,0.0001597242,0.0006688726,0.000005635069,0.0002447535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001113648,0.0002004447,0.1053073,0.00004872505,0.00002805397,0.00001161526,0.003269892,0.000005086339,0.00001052237,0.8726013,0.01248732,0.00601862],"study_design_scores_gemma":[0.0007884356,0.00007340865,0.1132189,0.00008247109,0.000008848177,0.00002886938,0.0005258112,0.002656035,0.0001447597,0.02061742,0.8610774,0.0007775984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2556037,0.01031007,0.004496395,0.1239537,0.005914635,0.0004606082,0.0001774574,0.00367841,0.595405],"genre_scores_gemma":[0.983648,0.00007316385,0.00104381,0.001250998,0.001078931,0.00003433216,0.0000713366,0.00004329422,0.01275614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8519838,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519878407441447,"score_gpt":0.2227114873216105,"score_spread":0.1975127032471961,"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."}}