{"id":"W2791541340","doi":"10.1111/acfi.12350","title":"Drivers of research impact: evidence from the top three finance journals","year":2018,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Perspective (graphical); Presentation (obstetrics); Affect (linguistics); Quality (philosophy); Impact factor; Psychology; Political science; Library science; Computer science; Medicine; Law; Epistemology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03640023,0.0001144713,0.0002690352,0.00578269,0.0008119417,0.001682044,0.002706705,0.00009935016,0.000226714],"category_scores_gemma":[0.06178038,0.00006247194,0.00009623019,0.07047792,0.001108505,0.001039639,0.0009405553,0.0004773362,0.0001587653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004522439,"about_ca_system_score_gemma":0.0002347626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682017,"about_ca_topic_score_gemma":0.0001371491,"domain_scores_codex":[0.9920119,0.0001874125,0.0005510147,0.000598729,0.006026856,0.0006240989],"domain_scores_gemma":[0.9769244,0.01554104,0.0004001925,0.001053785,0.006008973,0.00007161261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002428122,0.00001706113,0.8215181,0.00000133309,0.000005907028,0.000002692748,0.0003663173,0.00001141042,0.000505019,0.0002840593,0.01489592,0.1623679],"study_design_scores_gemma":[0.0001424697,0.0001211105,0.9641181,0.0001394086,0.000002334061,0.000002082824,0.0001720749,0.003207433,0.0006917266,0.02001894,0.0112995,0.00008479146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859147,0.01035209,0.0009476838,0.001745423,0.0002914746,0.0001372276,0.0000298441,0.000006348733,0.0005751891],"genre_scores_gemma":[0.9948542,0.003583973,0.0008038274,0.00006658264,0.0003178405,0.000003625383,2.980887e-7,0.000006308913,0.0003634136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1622831,"threshold_uncertainty_score":0.9993543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6950390697914387,"score_gpt":0.6262159828208154,"score_spread":0.06882308697062334,"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."}}