{"id":"W4243208282","doi":"10.1002/asi.20910","title":"Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic‐coupling analysis","year":2008,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bibliographic coupling; Computer science; Information science; Data science; Coupling (piping); Sociology; Library science; Information retrieval; Engineering; Citation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009832218,0.0003252798,0.0005712188,0.04362033,0.001294358,0.006550258,0.0009365755,0.0006980158,0.001961016],"category_scores_gemma":[0.07795003,0.0003119388,0.0005080011,0.06107181,0.001779195,0.005039747,0.003187135,0.0009611634,0.0002783004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005645692,"about_ca_system_score_gemma":0.002805696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614117,"about_ca_topic_score_gemma":0.009945115,"domain_scores_codex":[0.9902301,0.003194186,0.001247068,0.001026349,0.003819549,0.0004827309],"domain_scores_gemma":[0.8852693,0.05970795,0.02814104,0.005202556,0.01949407,0.002185037],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001458273,0.00008616059,0.8312413,0.0002523762,0.0003595339,0.0002089341,0.01734203,0.00405176,0.001189807,0.0319679,0.001190113,0.1119644],"study_design_scores_gemma":[0.00002140422,0.00009170858,0.9321296,0.0001724703,0.00015979,0.0003302103,0.01376578,0.0203489,0.001955852,0.01999869,0.01095443,0.00007118967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561771,0.001826682,0.01106105,0.001063032,0.00003721012,0.00005996089,0.0007982306,0.000113109,0.0288638],"genre_scores_gemma":[0.9955383,0.0002737648,0.003420979,0.00001658964,0.00001907392,0.00002616382,0.0002743089,0.00001350206,0.0004172165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9901678,"threshold_uncertainty_score":0.05199838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2164672387227517,"score_gpt":0.5034285396013762,"score_spread":0.2869613008786246,"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."}}