{"id":"W2769097657","doi":"10.1080/19186444.2009.11658213","title":"The Thomson Reuters Journal Selection Process","year":2009,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":157,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Process (computing); Economics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001727173,0.00006075984,0.00009173907,0.00002250413,0.001819404,0.0001079912,0.0002316137,0.00002975185,0.00007408285],"category_scores_gemma":[0.0001669617,0.0000426225,0.00005957092,0.0003810147,0.00006925553,0.0003005684,0.000002035711,0.0001489738,0.000007186229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007546277,"about_ca_system_score_gemma":0.0002346779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003533349,"about_ca_topic_score_gemma":0.0002393887,"domain_scores_codex":[0.9986921,0.0003112409,0.0002769287,0.00008001435,0.000520447,0.0001192836],"domain_scores_gemma":[0.9990169,0.0001137722,0.0002123275,0.00008082377,0.0005236621,0.00005252016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006419097,0.0000200951,0.00004786681,0.00002476495,0.000007408791,1.498064e-7,0.0006286429,0.000008558265,0.00001550202,0.9231343,0.005298567,0.07080778],"study_design_scores_gemma":[0.0001312684,0.00005861671,0.00250294,0.0001475519,0.00003648362,0.000005864544,0.000363815,0.00008269773,0.00001240427,0.06208297,0.9344736,0.0001017617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001416296,0.04140455,0.005560794,0.9193642,0.0005122467,0.001102329,0.000001911082,0.00009564401,0.03054207],"genre_scores_gemma":[0.8031141,0.1912494,0.0006204661,0.003858477,0.0003214952,0.00005445919,0.00002469977,0.000005153663,0.0007517893],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9291751,"threshold_uncertainty_score":0.9994801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05150941295268005,"score_gpt":0.3701919150226212,"score_spread":0.3186825020699411,"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."}}