{"id":"W4254272619","doi":"10.1002/asi.21313","title":"Contextual cocitation: Augmenting cocitation analysis and its applications","year":2010,"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":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Computer science; Granularity; Work (physics)","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01863565,0.001584146,0.001790768,0.01636797,0.001964873,0.006653553,0.002096847,0.001611637,0.006923475],"category_scores_gemma":[0.1342594,0.0008822171,0.001845064,0.02008207,0.003236789,0.006450229,0.005728527,0.001602653,0.001422131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159606,"about_ca_system_score_gemma":0.002925254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621617,"about_ca_topic_score_gemma":0.004322668,"domain_scores_codex":[0.9696686,0.01804043,0.00182264,0.003268095,0.006621715,0.0005785135],"domain_scores_gemma":[0.8379049,0.1079837,0.01018143,0.01973086,0.02317479,0.001024373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005375875,0.0002526812,0.03593084,0.002919324,0.0008576468,0.0006099065,0.007823505,0.01946946,0.008077973,0.2028157,0.00844444,0.712261],"study_design_scores_gemma":[0.0001459273,0.0003766378,0.03636712,0.001636493,0.0008512795,0.001164515,0.006341025,0.4688025,0.02394285,0.3363065,0.1234949,0.0005701327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02088093,0.001377724,0.962751,0.0007548564,0.0002341514,0.0004484408,0.0005924972,0.001565256,0.01139516],"genre_scores_gemma":[0.3614767,0.0008990539,0.6331354,0.0002258526,0.0003890374,0.0009896245,0.000711332,0.000572153,0.001600785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.983632,"threshold_uncertainty_score":0.09855598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1540436620985238,"score_gpt":0.5017164090871692,"score_spread":0.3476727469886454,"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."}}