{"id":"W7132936113","doi":"","title":"Responding to Change, Assessing Difference: A Review of the Literature on Professors at Canadian Universities","year":2017,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prestige; Politics; Government (linguistics); Equity (law); Face (sociological concept); Diversity (politics); Competition (biology); State (computer science)","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":[0.01640724,0.0006698058,0.001629026,0.0180473,0.006776164,0.00813361,0.00252686,0.002042464,0.00319109],"category_scores_gemma":[0.03491016,0.0006662002,0.0009201492,0.04274916,0.005533884,0.003939456,0.002616455,0.002415991,0.0003670891],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0703334,"about_ca_system_score_gemma":0.2318338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8828305,"about_ca_topic_score_gemma":0.9661667,"domain_scores_codex":[0.989735,0.002336633,0.001248823,0.0006145987,0.005248358,0.00081652],"domain_scores_gemma":[0.9614068,0.01974754,0.002089388,0.0003938693,0.0145613,0.001801152],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001081805,0.00006181323,0.007048625,0.09193549,0.0002400152,0.0005808311,0.04513424,0.0003629783,0.0004254777,0.01799295,0.05321511,0.7828943],"study_design_scores_gemma":[0.00002035513,0.00005284077,0.04120665,0.1488969,0.0005202148,0.000638611,0.04991446,0.0001151091,0.0002482969,0.002191601,0.7560522,0.0001427494],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001886607,0.9877887,0.0001403532,0.004814435,0.0003023408,0.0000357595,0.0001088251,0.000005501277,0.004917476],"genre_scores_gemma":[0.01577907,0.9816212,0.0004499199,0.001459775,0.00008251672,0.00002969455,0.00007443916,0.000006293578,0.0004970104],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9835927,"threshold_uncertainty_score":0.510307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573334011532862,"score_gpt":0.3858363325219025,"score_spread":0.3201029924065739,"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."}}