{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication","open_science"],"consensus_categories":["bibliometrics","scholarly_communication","open_science"],"category_scores_codex":[0.02007195,0.0002877904,0.0006592536,0.05721246,0.000633316,0.0223456,0.009958355,0.0002769816,0.0002331928],"category_scores_gemma":[0.1910011,0.0002099521,0.0001296025,0.1775766,0.01500565,0.1449653,0.01359406,0.0009626102,0.00002774429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788507,"about_ca_system_score_gemma":0.004498447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000705855,"about_ca_topic_score_gemma":0.000004658265,"domain_scores_codex":[0.9871626,0.0001368437,0.001576014,0.0008127373,0.008967198,0.00134454],"domain_scores_gemma":[0.7642708,0.002973489,0.002524511,0.0009574722,0.2280582,0.001215504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002526189,0.0006039175,0.5632135,0.0005415273,0.00002960071,0.000002112063,0.05886589,0.000003459206,0.1107724,0.07988452,0.002697296,0.1831332],"study_design_scores_gemma":[0.0006793746,0.0009490803,0.7738341,0.0006566786,0.00001546412,0.00003397901,0.01795105,0.002868599,0.1668705,0.02894475,0.006892323,0.000304087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495586,0.0006862773,0.000007440725,0.008209268,0.000388913,0.0007677049,0.0001027173,0.00001264526,0.04026639],"genre_scores_gemma":[0.9972876,0.0009914197,0.0006132373,0.00006243946,0.0000486836,0.00002826305,0.000001719208,0.00001264519,0.0009539835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2228919,"threshold_uncertainty_score":0.9953982,"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."}}