{"id":"W2947213889","doi":"10.2139/ssrn.3267011","title":"Is Presidential Compensation Linked to Performance of Ontario’s Colleges?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Presidential system; Compensation (psychology); Political science; Law; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005306866,0.0001945588,0.000605627,0.003048158,0.008200575,0.007095673,0.00205397,0.002913594,0.01379062],"category_scores_gemma":[0.04167777,0.0004353199,0.0005367335,0.006048336,0.003397279,0.001706279,0.001939802,0.002524505,0.000888066],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07702155,"about_ca_system_score_gemma":0.1547416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855611,"about_ca_topic_score_gemma":0.9944172,"domain_scores_codex":[0.9888237,0.0009135769,0.0003907784,0.0005925362,0.002982504,0.006296927],"domain_scores_gemma":[0.909166,0.009851622,0.02305196,0.001852802,0.02508737,0.03099021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002713957,0.0001236843,0.9235651,0.0001166861,0.0001647837,0.0002182346,0.005681072,0.0002332964,0.0001408094,0.0124193,0.04241841,0.01464727],"study_design_scores_gemma":[0.00003603194,0.00003733072,0.958625,0.0001201717,0.0000638834,0.00004790836,0.008999493,0.000186475,0.0001429111,0.0009874629,0.03070947,0.00004382601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7726042,0.002435252,0.0001830939,0.1353794,0.0005594922,0.00009512513,0.004707296,0.00003644032,0.08399973],"genre_scores_gemma":[0.9829656,0.0004994006,0.00005423586,0.002418203,0.0001598938,0.00001629186,0.0005374069,0.000008770898,0.01334013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9229785,"threshold_uncertainty_score":0.5588331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354460166575006,"score_gpt":0.2748905665581701,"score_spread":0.2613459648924201,"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."}}