{"id":"W1986593070","doi":"10.1029/2009eo240006","title":"Fein Receives Edward A. Flinn III Award","year":2009,"lang":"en","type":"article","venue":"Eos","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; European Science Foundation","keywords":"Political science; Management; Library science; Law; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004533049,0.0008135104,0.000897127,0.001802821,0.003177566,0.005600827,0.0009318428,0.004155413,0.1593245],"category_scores_gemma":[0.008531128,0.000279269,0.0005144638,0.000967532,0.0008238845,0.001638272,0.003353962,0.002676554,0.08732114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00447839,"about_ca_system_score_gemma":0.01263321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564954,"about_ca_topic_score_gemma":0.05009287,"domain_scores_codex":[0.996566,0.0002729043,0.000105602,0.0002505906,0.002159216,0.0006457109],"domain_scores_gemma":[0.9877274,0.0003576479,0.0002382386,0.0002921503,0.004446829,0.006937795],"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":[0.00002751531,0.00003489019,0.0002493389,0.00001573323,0.000002931973,0.00005633572,0.00001426885,0.00003235733,0.0000696824,0.003683221,0.964068,0.03174573],"study_design_scores_gemma":[0.000006905047,0.00001942097,0.0005275894,0.00002969216,0.000002151002,0.0000532776,0.00002886389,0.00004874102,0.0000638795,0.0005331771,0.998681,0.00000524799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002568166,0.01058865,0.001616677,0.285624,0.1067667,0.0002343486,0.00245513,0.0004223166,0.5897239],"genre_scores_gemma":[0.00901317,0.004767779,0.0009477136,0.01194866,0.004813851,0.00005021405,0.000894062,0.00009882486,0.9674658],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1593245,"threshold_uncertainty_score":0.5329935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5251693089797328,"score_gpt":0.5843264562240658,"score_spread":0.05915714724433296,"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."}}