{"id":"W2261303456","doi":"","title":"A COMPARATIVE STUDY ON THE LIBRARY AND INFORMATION SCIENCE'S BRANCHES IN USA, CANADA, UK, WITH IRAN: EMPHASIZING ON THEIR EFFECTIVENESS ON THE AMOUNT OF SCIENTIFIC PRODUCTIONS AT THE INTERNATIONAL LEVEL","year":2012,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Regional science; Political science; Geography; Computer 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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001733401,0.0002222114,0.0004012025,0.00200426,0.003499078,0.002213626,0.0004922574,0.0005811279,0.004108946],"category_scores_gemma":[0.007253076,0.0002287966,0.0004125127,0.003750942,0.001711939,0.001559969,0.001502183,0.0008077887,0.0003068957],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007102838,"about_ca_system_score_gemma":0.01076568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2740068,"about_ca_topic_score_gemma":0.4942586,"domain_scores_codex":[0.9984268,0.0004363452,0.00008842466,0.0001058315,0.0004054092,0.0005372433],"domain_scores_gemma":[0.9940525,0.001980388,0.0008837849,0.0001002026,0.001318027,0.001665063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005370249,0.001124497,0.8658625,0.0001758968,0.000054661,0.0005333988,0.1032753,0.00007615615,0.0004904976,0.0009322824,0.0007629886,0.02617475],"study_design_scores_gemma":[0.00001916574,0.0004722332,0.8524144,0.00004355932,0.00004958365,0.0001056067,0.1438819,0.00005473413,0.0002189691,0.00005412025,0.002670633,0.0000151903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976477,0.00009869766,0.000006738601,0.00009209228,0.000003407582,0.000009252218,0.00002368816,7.681327e-7,0.002117698],"genre_scores_gemma":[0.9985173,0.0001831918,0.00003097111,0.00005520481,0.000004344647,0.000006231134,0.00003176125,9.758005e-7,0.001170059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979957,"threshold_uncertainty_score":0.5448238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06365551051559797,"score_gpt":0.2905574254375284,"score_spread":0.2269019149219304,"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."}}