{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002261277,0.0001984279,0.0005017316,0.001127193,0.001637167,0.004837787,0.0004931364,0.002162772,0.04881527],"category_scores_gemma":[0.02177702,0.0001857034,0.0003306668,0.002029264,0.003234979,0.005256839,0.00139292,0.001563491,0.01383726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126294,"about_ca_system_score_gemma":0.001040223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003278553,"about_ca_topic_score_gemma":0.003162042,"domain_scores_codex":[0.9981911,0.0006294037,0.00007110438,0.0003420443,0.0004164648,0.0003499082],"domain_scores_gemma":[0.9885842,0.004629716,0.001811201,0.0008294922,0.001843691,0.002301671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003449684,0.0001770479,0.1071585,0.0005890572,0.0001425635,0.0004589918,0.004284231,0.0008827814,0.000776618,0.4938644,0.192884,0.198437],"study_design_scores_gemma":[0.0001282448,0.0002079263,0.09154548,0.0004897176,0.00008229769,0.0005834141,0.006052101,0.0008678201,0.0006865676,0.4730979,0.4262063,0.00005221455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3051742,0.02875599,0.009005899,0.259725,0.003355225,0.00008367262,0.002720175,0.0003757242,0.3908041],"genre_scores_gemma":[0.9257818,0.01030306,0.0009198114,0.01684261,0.002214478,0.00003005022,0.0007703353,0.0001906295,0.04294709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9988728,"threshold_uncertainty_score":0.1633034,"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."}}