{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004826562,0.001228707,0.0007320009,0.004455087,0.0007844424,0.001566154,0.001730468,0.001801402,0.05223174],"category_scores_gemma":[0.0240121,0.0005945038,0.0007512773,0.008719249,0.0003238836,0.001071774,0.001790945,0.001648095,0.03888301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032994,"about_ca_system_score_gemma":0.003084402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03125768,"about_ca_topic_score_gemma":0.0446563,"domain_scores_codex":[0.996488,0.0008530523,0.000699222,0.0005973518,0.000915852,0.0004465237],"domain_scores_gemma":[0.9833431,0.005675827,0.00267961,0.001630264,0.005472528,0.00119855],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003049265,0.0001231591,0.01294911,0.0008667531,0.00004588811,0.00002731851,0.0001265865,0.0002650051,0.0001255723,0.0004702322,0.9762093,0.00848604],"study_design_scores_gemma":[0.001143623,0.0001809414,0.1972474,0.0008610706,0.0001168608,0.0001175083,0.0008595163,0.001029526,0.0007254926,0.00130928,0.7963151,0.00009364692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002140974,0.0000353663,0.0000861563,0.0001433424,0.00002391794,0.0001036908,0.9958164,0.00008381975,0.001566281],"genre_scores_gemma":[0.005130316,0.00007437708,0.0004197825,0.0001965218,0.00002442062,0.001273802,0.989829,0.00004225924,0.003009414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9951735,"threshold_uncertainty_score":0.1747326,"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."}}