{"id":"W4404094290","doi":"10.2139/ssrn.5010875","title":"Analyst-Peer Alumni Tie","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006057625,0.0006061629,0.00101851,0.005201967,0.00565162,0.009461251,0.00138636,0.003531028,0.1828669],"category_scores_gemma":[0.053477,0.0004753289,0.0004267396,0.002624874,0.0006829948,0.004577239,0.004819138,0.00327674,0.05776397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574402,"about_ca_system_score_gemma":0.004580145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018067,"about_ca_topic_score_gemma":0.002185839,"domain_scores_codex":[0.9916053,0.001990769,0.0003888818,0.001187481,0.003688621,0.001138937],"domain_scores_gemma":[0.9700661,0.010052,0.002533908,0.002574694,0.008481902,0.006291404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007069964,0.001030538,0.02779035,0.0005823197,0.0001917348,0.001884456,0.003015441,0.00106293,0.003692027,0.2496961,0.3350805,0.3752666],"study_design_scores_gemma":[0.0003077816,0.0006435649,0.02225627,0.0002070614,0.0001651708,0.001660438,0.005308053,0.008691068,0.006342792,0.1605939,0.7937381,0.00008581977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07358313,0.001549055,0.01780643,0.02523435,0.004850083,0.0004853831,0.0006644709,0.001087251,0.8747398],"genre_scores_gemma":[0.5048098,0.00118204,0.004246981,0.003146286,0.005061178,0.0002485583,0.0003783535,0.0003185871,0.4806082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.994798,"threshold_uncertainty_score":0.6117508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4014755613346266,"score_gpt":0.5669979265405267,"score_spread":0.1655223652059001,"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."}}