{"id":"W4398272487","doi":"10.7910/dvn/mrlhno","title":"Survey responses about review, tenure, and promotion","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Promotion (chess); Business; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01082828,0.0003127702,0.0006483011,0.0002631511,0.0001819398,0.0004104024,0.0008905002,0.0001867057,0.04306965],"category_scores_gemma":[0.01698886,0.0002318351,0.00009265522,0.000700221,0.0001269297,0.0006339119,0.0005736586,0.0004232787,0.2073963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004740763,"about_ca_system_score_gemma":0.0005183987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000137048,"about_ca_topic_score_gemma":0.0005040489,"domain_scores_codex":[0.9938771,0.001701708,0.000980202,0.000880283,0.002312021,0.0002487357],"domain_scores_gemma":[0.9957134,0.001148848,0.0006720113,0.00169665,0.0005243271,0.0002447636],"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":[0.00006392915,0.00003954236,0.0003116687,0.0002123248,0.00001984587,0.00002100706,0.00001238117,4.516358e-7,0.000001851348,0.000004822342,0.9948209,0.00449127],"study_design_scores_gemma":[0.0002744054,0.0001210134,0.01763776,0.0005035514,0.00007859944,0.00001384185,0.00001898994,0.00009285875,0.000002293153,0.00003937607,0.9809522,0.0002651094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002783016,0.00007098074,0.00004567955,0.0002214391,0.0005912283,0.0006128359,0.9982677,0.00002600936,0.0001363356],"genre_scores_gemma":[0.00001791242,0.02482126,0.0001155612,0.003067197,0.0001449904,0.00003926229,0.9704454,0.0000121534,0.001336254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1643267,"threshold_uncertainty_score":0.9912915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2424638511060597,"score_gpt":0.4647721953038499,"score_spread":0.2223083441977902,"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."}}