{"id":"W2183415124","doi":"","title":"Teaching Loads and Research Outputs of Ontario University Faculty Members: Implications for Productivity and Differentiation","year":2014,"lang":"en","type":"article","venue":"","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Productivity; Higher education; Economics; Business; Labour economics; Marketing; Agricultural economics; Economic growth","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02092815,0.0003291376,0.0004780341,0.004739038,0.003638878,0.005743877,0.001144193,0.0006985549,0.003775286],"category_scores_gemma":[0.09688035,0.0004134406,0.0004273209,0.007054069,0.002504869,0.0017938,0.003514859,0.0006358196,0.0006128781],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02672661,"about_ca_system_score_gemma":0.03447138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3262247,"about_ca_topic_score_gemma":0.4864431,"domain_scores_codex":[0.9822097,0.005550508,0.001823649,0.0008385998,0.007858347,0.001719194],"domain_scores_gemma":[0.8819,0.05170266,0.01952126,0.002950354,0.02294308,0.02098257],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006195748,0.0002317466,0.9318993,0.0001647654,0.00007533173,0.0001066213,0.02223476,0.0003191808,0.001761287,0.0007660799,0.0007073269,0.04111395],"study_design_scores_gemma":[0.00002602018,0.0001257679,0.9799429,0.00004664897,0.00001997794,0.00002592999,0.01765062,0.0002997941,0.0005820502,0.0003727253,0.0008899441,0.00001761621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99075,0.0002566158,0.0002751314,0.0008758391,0.000009684763,0.0000520114,0.0003351317,0.00001723383,0.007428368],"genre_scores_gemma":[0.9976761,0.0001494835,0.0003635808,0.00007277681,0.000008972235,0.00003583008,0.0001571721,0.000008068449,0.001528091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9790719,"threshold_uncertainty_score":0.6486517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2436201474114957,"score_gpt":0.4684814011647843,"score_spread":0.2248612537532886,"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."}}