{"id":"W2794312167","doi":"10.1016/j.evalprogplan.2018.02.008","title":"The influence of evaluation recommendations on instrumental and conceptual uses: A preliminary analysis","year":2018,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; École Nationale d'Administration Publique","funders":"","keywords":"Timeline; Context (archaeology); Relevance (law); Government (linguistics); Process (computing); Process management; Program evaluation; Management science; Computer science; Business; Engineering; Political science; Public administration","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":["metaresearch"],"category_scores_codex":[0.2515895,0.001092629,0.001184459,0.004498811,0.002012221,0.0067753,0.002354778,0.002243278,0.00429716],"category_scores_gemma":[0.6554614,0.0006687673,0.001841431,0.003356073,0.003954376,0.004664264,0.002713998,0.003157767,0.0004683602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006343912,"about_ca_system_score_gemma":0.004909152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008886672,"about_ca_topic_score_gemma":0.00971665,"domain_scores_codex":[0.7330697,0.187613,0.011721,0.007415566,0.05569917,0.004481541],"domain_scores_gemma":[0.05862703,0.8874244,0.01469699,0.009168209,0.0290675,0.001015908],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01470108,0.003515772,0.4318416,0.005378154,0.003221146,0.001299371,0.01696997,0.04641248,0.01060685,0.05977705,0.007605033,0.3986715],"study_design_scores_gemma":[0.001705423,0.009463877,0.6522022,0.003844893,0.01005346,0.000947512,0.02546897,0.1400099,0.05792185,0.05646999,0.04122982,0.0006820281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.860782,0.004176542,0.04322375,0.006166962,0.0001791346,0.00172981,0.0009343462,0.0001926643,0.08261479],"genre_scores_gemma":[0.9824772,0.0004142679,0.0151381,0.0002999383,0.0000478727,0.0003185376,0.0001255031,0.0000735795,0.001104914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7484105,"threshold_uncertainty_score":0.9229234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.251468143086531,"score_gpt":0.5619848745859857,"score_spread":0.3105167314994547,"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."}}