{"id":"W1799284535","doi":"10.1002/asi.23179","title":"Measuring academic influence: Not all citations are equal","year":2014,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université TÉLUQ; Université du Québec à Montréal; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Variety (cybernetics); Set (abstract data type); Selection (genetic algorithm); Feature (linguistics); Data set; Feature selection","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.05238761,0.00006547754,0.0001846269,0.02631433,0.000606007,0.001053826,0.002258832,0.0001679812,0.000003273058],"category_scores_gemma":[0.3024124,0.00003870116,0.00007114161,0.06152377,0.0002700602,0.004691675,0.0003536718,0.0003967994,0.0000254994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003563178,"about_ca_system_score_gemma":0.0003506169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002312427,"about_ca_topic_score_gemma":0.000001687126,"domain_scores_codex":[0.9916934,0.00006554468,0.0009461751,0.0001244989,0.006846017,0.0003243785],"domain_scores_gemma":[0.9764488,0.002282144,0.002683101,0.0002658681,0.01819172,0.0001283076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000252855,0.00003468748,0.6558884,0.00001134922,0.00003444718,1.388196e-7,0.001054266,0.0009232635,0.01079812,0.1215856,0.011244,0.1984004],"study_design_scores_gemma":[0.001215009,0.0002751585,0.6609027,0.00002933951,0.00002229327,0.00002214864,0.002043064,0.008722543,0.009996789,0.1416076,0.1749813,0.0001820856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609148,0.00004426615,0.006216339,0.03043237,0.0007477673,0.0002148058,0.00001325801,0.00001663387,0.001399762],"genre_scores_gemma":[0.9984415,0.00003903659,0.0004922222,0.0008606287,0.00003582837,0.000004501371,1.718107e-7,0.000001638937,0.0001245256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2500247,"threshold_uncertainty_score":0.9999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3957544109113592,"score_gpt":0.5121693558521234,"score_spread":0.1164149449407643,"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."}}