{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02001878,0.0004094771,0.0006981182,0.005913081,0.012476,0.02153413,0.003358843,0.003487043,0.007121476],"category_scores_gemma":[0.0524901,0.001009811,0.0008162491,0.009076138,0.01609496,0.03467164,0.008056354,0.002728127,0.002062785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02958646,"about_ca_system_score_gemma":0.03092678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2224965,"about_ca_topic_score_gemma":0.2460299,"domain_scores_codex":[0.9831872,0.006980975,0.0006015844,0.001053754,0.005711325,0.002465231],"domain_scores_gemma":[0.9467139,0.01944163,0.009180512,0.006052395,0.01153288,0.007078812],"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":[0.0003383045,0.0004813962,0.172241,0.0010308,0.0002316304,0.000496326,0.1504381,0.002032286,0.001817693,0.2158998,0.03610135,0.4188912],"study_design_scores_gemma":[0.00008201875,0.0002920301,0.1483168,0.0007498194,0.0001804279,0.0004120793,0.1922146,0.006784628,0.001824326,0.09965801,0.5491282,0.0003570353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.624799,0.01390323,0.03068427,0.2090857,0.0006937321,0.0005580134,0.001063694,0.002292434,0.11692],"genre_scores_gemma":[0.9542542,0.004747787,0.02073647,0.003384791,0.0004316258,0.0002901009,0.0004691218,0.0002647151,0.01542124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2224965,"threshold_uncertainty_score":0.4424028,"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."}}