{"id":"W2376459764","doi":"","title":"Canada Research Chairs Program and its Enlightenment","year":2013,"lang":"en","type":"article","venue":"Ke-ji guanli yanjiu","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enlightenment; China; Mechanism (biology); Political science; Computer science; Operations research; Regional science; Sociology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006731761,0.0002110241,0.0003250133,0.0004250157,0.0007845559,0.0009736788,0.00197095,0.0001275345,0.001594385],"category_scores_gemma":[0.00367798,0.0001385579,0.00006513778,0.001883934,0.0004644144,0.0007693975,0.0007417597,0.0007315247,0.001172373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128019,"about_ca_system_score_gemma":0.001290401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2098638,"about_ca_topic_score_gemma":0.1096575,"domain_scores_codex":[0.9901363,0.0004764489,0.0006242901,0.001015755,0.006398589,0.001348582],"domain_scores_gemma":[0.9957765,0.001503979,0.0001134242,0.0007494429,0.0009884115,0.0008682838],"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":[0.00001418084,0.0001010008,0.007117519,0.0000153243,0.00001400694,0.00005456297,0.0006791687,0.000008472617,0.002457591,0.004354069,0.5255949,0.4595891],"study_design_scores_gemma":[0.0004966034,0.0003121443,0.06301247,0.00003870007,0.000003332237,0.00002683343,0.003830121,0.0108915,0.002806041,0.01884572,0.8993487,0.0003877888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325867,0.001294497,0.00001222146,0.02139837,0.0004299832,0.001648649,0.00002700259,0.00006295931,0.04253959],"genre_scores_gemma":[0.9721591,0.0001706287,0.0004119145,0.0004474223,0.0002197842,0.0002236475,0.000002760647,0.00001628057,0.02634849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4592013,"threshold_uncertainty_score":0.9996054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2695750599150298,"score_gpt":0.4884946382648642,"score_spread":0.2189195783498343,"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."}}