{"id":"W4226406422","doi":"10.3138/cjpe.73684","title":"Donna Mertens. (2018). <i>Mixed Methods Design in Evaluation</i> .","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1570219,0.0001740052,0.0003849732,0.001777161,0.0005115673,0.0003590838,0.000909436,0.00006995958,0.01422822],"category_scores_gemma":[0.0086573,0.0001505796,0.0001710587,0.002380787,0.00008642388,0.0007179695,0.00004579019,0.0005003411,0.00006001056],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813118,"about_ca_system_score_gemma":0.01450286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006296317,"about_ca_topic_score_gemma":0.008715989,"domain_scores_codex":[0.9797209,0.01155475,0.001797367,0.0003850233,0.006067562,0.0004744345],"domain_scores_gemma":[0.9934328,0.001001358,0.001129538,0.0004900856,0.00346596,0.0004803073],"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":[0.00002959452,0.00006438093,0.003616388,0.000001370896,0.00002180694,0.000007370621,0.001273125,0.08718261,0.00008483916,0.0001763033,0.01229971,0.8952425],"study_design_scores_gemma":[0.002694624,0.001011151,0.05094283,0.00002180349,0.0001818324,0.0001329568,0.00518071,0.7202561,0.0002009971,0.04034542,0.1787395,0.0002919997],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6328445,0.01895408,0.2277182,0.03977698,0.0308152,0.02479882,0.00008802972,0.0001061677,0.02489798],"genre_scores_gemma":[0.9392788,0.00001357524,0.05905287,0.0005992962,0.0001459638,0.0007038275,0.00002188635,0.00001881759,0.0001650058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8949505,"threshold_uncertainty_score":0.9996932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5744650939781201,"score_gpt":0.5931184524350988,"score_spread":0.01865335845697869,"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."}}