{"id":"W4353055391","doi":"10.3138/cjpe.75444","title":"Using Evaluative Information Sensibly: The Enduring Contributions of John Mayne","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network","funders":"MetroWest Health Foundation; Hartford Foundation for Public Giving","keywords":"Causation; Audit; Accountability; Discipline; Bridge (graph theory); Work (physics); Knowledge management; Sociology; Engineering ethics; Epistemology; Computer science; Political science; Social science; Accounting; Engineering; Medicine; Business; Law","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"],"consensus_categories":[],"category_scores_codex":[0.02867976,0.0001096411,0.0002393991,0.001221195,0.0004174108,0.0003118679,0.000404329,0.00007393269,0.0008906901],"category_scores_gemma":[0.008966826,0.00007256842,0.0001517296,0.00242354,0.0001509721,0.001362373,0.00002330871,0.0002098968,0.0001244567],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000391024,"about_ca_system_score_gemma":0.006497799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004197255,"about_ca_topic_score_gemma":0.002198187,"domain_scores_codex":[0.9945276,0.0008865101,0.001317639,0.0001094071,0.002866526,0.0002923117],"domain_scores_gemma":[0.9897987,0.0005650801,0.001321703,0.0002988945,0.00777217,0.0002434481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003867958,0.00003666825,0.01221427,0.00001371674,0.0001263906,0.000004306047,0.008158214,0.1473483,0.0009713076,0.002957088,0.008098386,0.8200327],"study_design_scores_gemma":[0.0014882,0.0003884603,0.1150999,0.0001056085,0.0002280856,0.00006030012,0.01087909,0.8302267,0.001459644,0.01294907,0.02694474,0.0001702811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846249,0.0002113958,0.00478111,0.004298168,0.001349868,0.001743127,0.00006345788,0.0000184862,0.002909494],"genre_scores_gemma":[0.9984649,0.00001277657,0.001188885,0.00009841069,0.0001276734,0.00003073378,0.00002862392,0.000005586547,0.00004234381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8198624,"threshold_uncertainty_score":0.9993811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4719747065396345,"score_gpt":0.5711621102531929,"score_spread":0.09918740371355839,"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."}}