{"id":"W1576976718","doi":"10.3386/w20012","title":"Why Stars Matter","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tetra Tech (Canada); University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stars; Astrophysics; Astronomy; Physics","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","open_science","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","insufficient_payload"],"category_scores_codex":[0.1683985,0.0002904946,0.0009706971,0.1257804,0.00028384,0.002041823,0.005835669,0.0006728966,0.02099314],"category_scores_gemma":[0.09267955,0.0002286145,0.0004833202,0.04289226,0.0007390169,0.0004767392,0.001779645,0.001477026,0.01061985],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002668143,"about_ca_system_score_gemma":0.007925011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510847,"about_ca_topic_score_gemma":0.0002746648,"domain_scores_codex":[0.9485987,0.0009546815,0.002154141,0.001594395,0.04558752,0.001110602],"domain_scores_gemma":[0.9380093,0.02156113,0.000887845,0.001408551,0.03758826,0.0005449023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002114874,0.00006753883,0.01365189,0.00003503482,0.00005815537,0.00000300016,0.00001097889,0.00009629134,0.0000386101,0.01260054,0.9665071,0.006909735],"study_design_scores_gemma":[0.0002337498,0.0001076589,0.008505834,0.00002770283,0.000003378315,0.00001243447,0.00002767726,0.0006997536,0.00009129484,0.2654873,0.7245986,0.0002046084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003449929,0.0009274146,0.0001000482,0.004747781,0.001665783,0.0005432295,0.0002976512,0.00001077141,0.9882574],"genre_scores_gemma":[0.7827652,0.002468795,0.0008122624,0.0006570264,0.00311999,0.0001492093,0.0004250353,0.0001258052,0.2094767],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7793152,"threshold_uncertainty_score":0.9995432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8938438393618267,"score_gpt":0.7133195741200734,"score_spread":0.1805242652417532,"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."}}