{"id":"W2705668613","doi":"10.29173/cais133","title":"Interdisciplinary Outreach of Library and Information Science Research as Reflected in “Essential Science Indicators”","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Library science; Computer science; Sociology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01962586,0.0003132525,0.0006804019,0.02150089,0.001639789,0.005700567,0.0007169921,0.0008122195,0.004951962],"category_scores_gemma":[0.0821239,0.000231331,0.0004485558,0.0166897,0.001808074,0.005493902,0.007119214,0.0008877728,0.0007422758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002973405,"about_ca_system_score_gemma":0.004284431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001171482,"about_ca_topic_score_gemma":0.00177524,"domain_scores_codex":[0.9839764,0.005140626,0.001367344,0.0008072903,0.007913026,0.0007953302],"domain_scores_gemma":[0.8219287,0.1179822,0.02284893,0.007772385,0.01976498,0.00970287],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005930358,0.0005607478,0.5776716,0.001625881,0.0003043449,0.0005563784,0.03357762,0.001292221,0.01057026,0.02500247,0.001956028,0.3462895],"study_design_scores_gemma":[0.00002547784,0.0003769396,0.9352378,0.0003195464,0.00010682,0.0007145693,0.01599403,0.001432302,0.004006742,0.01560525,0.02612256,0.00005802073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932297,0.003848447,0.005497484,0.002521342,0.0001039701,0.00006573661,0.0003114447,0.0001176667,0.05523692],"genre_scores_gemma":[0.9943123,0.001079244,0.002063337,0.00009079894,0.0000919848,0.0000374021,0.0001455474,0.00002088637,0.002158618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9803742,"threshold_uncertainty_score":0.1037927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551821183163661,"score_gpt":0.4679811539053891,"score_spread":0.312799035589023,"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."}}