{"id":"W1987047618","doi":"10.1108/03074800910928621","title":"IFLA WLIC 2008 Quebec City, Canada","year":2009,"lang":"en","type":"article","venue":"New Library World","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Originality; Value (mathematics); Library science; Political science; Sociology; Computer science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001485163,0.0008081722,0.000676359,0.001692589,0.009067921,0.007998021,0.002099473,0.001922962,0.5591192],"category_scores_gemma":[0.00373844,0.0006061236,0.000519314,0.002809989,0.001728514,0.001455215,0.001269065,0.001734352,0.142321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05049371,"about_ca_system_score_gemma":0.08511482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9735376,"about_ca_topic_score_gemma":0.9874873,"domain_scores_codex":[0.9982298,0.0001253011,0.00005111184,0.0002972153,0.0008359078,0.0004605104],"domain_scores_gemma":[0.9946244,0.0003074793,0.0001313057,0.0002870169,0.003808845,0.0008409083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008748136,0.0000548137,0.001755173,0.0001595931,0.000008986163,0.0001435652,0.0002442402,0.0002203223,0.0003877187,0.01066353,0.9099365,0.07633796],"study_design_scores_gemma":[0.00001596978,0.00001401158,0.005814679,0.0001806746,0.000005732088,0.0000469189,0.0005057012,0.0002221304,0.0002159002,0.0003658549,0.9925896,0.00002281686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005558209,0.004128299,0.001605527,0.01057024,0.001351784,0.0003672197,0.01563911,0.001097325,0.9596823],"genre_scores_gemma":[0.007992846,0.0009743159,0.0009329521,0.0007271703,0.00003731164,0.00009016514,0.002965802,0.000211948,0.9860676],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5591192,"threshold_uncertainty_score":0.628863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026009283646616,"score_gpt":0.1854571603768096,"score_spread":0.1751970675403435,"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."}}