{"id":"W2970628700","doi":"10.5860/choice.45-2569","title":"A generation of excellence: a history of the Canadian Institute for Advanced Research","year":2008,"lang":"en","type":"article","venue":"Choice Reviews Online","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Excellence; Political science; Library science; Engineering ethics; Management; Engineering; Computer science; Law; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02856382,0.0008834831,0.001632477,0.02115725,0.0160894,0.02721768,0.003478303,0.007665563,0.01256207],"category_scores_gemma":[0.05746116,0.0007611702,0.0009539333,0.03957476,0.02117532,0.009778131,0.007659957,0.007760371,0.001409311],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1583928,"about_ca_system_score_gemma":0.3091942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9069086,"about_ca_topic_score_gemma":0.9479609,"domain_scores_codex":[0.9681484,0.004821145,0.001090578,0.001768231,0.02008176,0.004089915],"domain_scores_gemma":[0.9171875,0.01617573,0.002699384,0.002772056,0.04469019,0.01647506],"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":[0.00005487298,0.00005604134,0.001510523,0.0007670671,0.00002882789,0.0001362816,0.003598312,0.0002170092,0.0001534604,0.5209758,0.334268,0.1382338],"study_design_scores_gemma":[0.00001101471,0.0000105764,0.003726691,0.0006672349,0.00001302229,0.00003426615,0.001242038,0.00009446708,0.0000864346,0.01948942,0.9745606,0.00006423684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005694386,0.2442418,0.003151378,0.4556187,0.01085671,0.0001504588,0.0008474829,0.0002975441,0.2791414],"genre_scores_gemma":[0.3442858,0.359608,0.01565155,0.111178,0.008112794,0.0003102862,0.0008428859,0.0008098242,0.1592009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9839106,"threshold_uncertainty_score":0.976145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9256229350292033,"score_gpt":0.6469821433869244,"score_spread":0.278640791642279,"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."}}