{"id":"W1854042962","doi":"10.18438/b8g597","title":"Use and access of grey literature in special libraries may be hindered by lack of visibility and cataloguing","year":2006,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Grey literature; Government (linguistics); Presentation (obstetrics); Publishing; Collection development; Sociology; Public relations; Psychology; Computer science; Political science; Medicine; MEDLINE; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003102151,0.000102977,0.0001710405,0.0002589211,0.00006353365,0.002488378,0.0001001034,0.00005868505,0.00005044816],"category_scores_gemma":[0.001186461,0.00009177391,0.00002079287,0.0005575009,0.0000913171,0.4195014,0.0001698328,0.0001079529,7.492756e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002240467,"about_ca_system_score_gemma":0.00002864123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002439024,"about_ca_topic_score_gemma":0.000002422038,"domain_scores_codex":[0.9991823,0.00003152477,0.0004291567,0.0001215627,0.0001439124,0.00009155466],"domain_scores_gemma":[0.9987806,0.0004632847,0.0004833837,0.0001321274,0.0001289795,0.00001163536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001505783,0.0002555819,0.742424,0.003715338,0.00005558897,0.00001070464,0.0005367322,0.0001909717,0.0005571053,0.2168557,0.02283529,0.01105726],"study_design_scores_gemma":[0.001368048,0.00006522908,0.7013525,0.001066461,0.000192745,0.000005126028,0.0009445497,0.02281824,0.003672761,0.002718173,0.2653093,0.0004868035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755303,0.0012655,0.0002478964,0.01931531,0.00005215274,0.0002493103,0.0000508928,0.00002541111,0.003263264],"genre_scores_gemma":[0.989924,0.0005992925,0.001072988,0.007937385,0.0001379115,0.000002740314,0.0002716785,0.000005238848,0.0000488033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.417013,"threshold_uncertainty_score":0.9985471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585452035497918,"score_gpt":0.2614093392416603,"score_spread":0.2355548188866811,"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."}}