{"id":"W2890027215","doi":"10.3386/w21579","title":"Neophilia Ranking of Scientific Journals","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ranking (information retrieval); Journal ranking; Information retrieval; Data science; Computer science; Library science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0124912,0.0001634731,0.0004538825,0.001233044,0.0001841168,0.0005044637,0.003193239,0.0002473788,0.0003933143],"category_scores_gemma":[0.001588815,0.0001450068,0.0001993412,0.0003797713,0.0007981564,0.0004641703,0.002330944,0.0008522331,0.0001793468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006414274,"about_ca_system_score_gemma":0.004295181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002396514,"about_ca_topic_score_gemma":0.00002251771,"domain_scores_codex":[0.9959589,0.0003535333,0.0008446085,0.0006956282,0.001759345,0.0003880062],"domain_scores_gemma":[0.9939719,0.0006770758,0.0003844287,0.0007764622,0.004030081,0.0001600289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008001842,0.0002221128,0.0002033289,0.000263684,0.0002256608,0.000003583322,0.001945111,0.008724507,0.004006009,0.7832425,0.1904869,0.01059665],"study_design_scores_gemma":[0.0002713487,0.0000797695,0.0000594341,0.0001645326,0.000003006393,0.000006976609,0.00001805738,0.08352861,0.004943898,0.9077368,0.003037851,0.0001497401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09687196,0.006150433,0.009534397,0.006704921,0.007234899,0.001879989,0.0001411476,0.00009687591,0.8713854],"genre_scores_gemma":[0.9940218,0.0001199869,0.002586104,0.00002359517,0.0003675987,0.00001906376,0.00003015808,0.0000141271,0.002817602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8971498,"threshold_uncertainty_score":0.7619466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5146654059760064,"score_gpt":0.5025642595274311,"score_spread":0.0121011464485753,"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."}}