{"id":"W2945573974","doi":"10.3138/cjpe.42118","title":"Community, Theory, and Guidance: Benefits and Lessons Learned in Evaluation Peer Mentoring","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Peer mentoring; Psychology; Professional development; Work (physics); Medical education; Peer review; Field (mathematics); Empirical research; Public relations; Pedagogy; Political science; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.09360075,0.0001142574,0.0002288172,0.0007116532,0.0002286931,0.0004801152,0.0002892328,0.00008059616,0.0009964942],"category_scores_gemma":[0.005889805,0.00009444395,0.00004067813,0.0005097326,0.00007593689,0.000767669,0.00003331433,0.0003518975,0.00002420229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727672,"about_ca_system_score_gemma":0.001969437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000731035,"about_ca_topic_score_gemma":0.02597251,"domain_scores_codex":[0.9933965,0.002823865,0.0007374327,0.0001890213,0.002606447,0.0002466961],"domain_scores_gemma":[0.9956833,0.0005520039,0.0004731961,0.000286311,0.002716546,0.0002886843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002123025,0.00002115219,0.139451,0.000005020059,0.00001119604,4.483416e-7,0.003949973,0.002472907,0.00005471475,0.002685616,0.0001597531,0.851167],"study_design_scores_gemma":[0.002634881,0.0005229262,0.838272,0.0001908384,0.00008870807,0.00003000359,0.009006835,0.07720643,0.00007135074,0.06131295,0.01047647,0.0001866019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880688,0.002138193,0.00004628371,0.005046304,0.0004342306,0.001016486,0.00000399454,0.000003950654,0.003241804],"genre_scores_gemma":[0.9989129,0.00004709651,0.0005223871,0.0001113192,0.00005155611,0.000043612,0.000009201704,0.000008259383,0.00029363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8509805,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5039995996250785,"score_gpt":0.5605583430272246,"score_spread":0.05655874340214617,"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."}}