{"id":"W4297275206","doi":"","title":"A meta-analysis of DDL research 1: Rationale, methodology and outcomes.","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer 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":[0.1342036,0.004453639,0.01355381,0.01056242,0.001346116,0.005673084,0.003280498,0.004910857,0.009305571],"category_scores_gemma":[0.3538677,0.001980131,0.02980126,0.007890626,0.001542419,0.003606105,0.003536639,0.003343228,0.001347218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004876822,"about_ca_system_score_gemma":0.006868558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970259,"about_ca_topic_score_gemma":0.005216933,"domain_scores_codex":[0.8248326,0.1293489,0.02921398,0.006395426,0.009151102,0.001058059],"domain_scores_gemma":[0.7892403,0.1677352,0.01844684,0.01246953,0.01067545,0.001432648],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01375091,0.0002241561,0.004218627,0.4610816,0.4595396,0.0002262225,0.0004427267,0.001306706,0.0009892766,0.002846683,0.005769026,0.04960456],"study_design_scores_gemma":[0.01172755,0.002794801,0.005283838,0.0729431,0.8701597,0.0004051609,0.0002662779,0.001510721,0.001707682,0.01284548,0.02016651,0.0001891937],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0217262,0.6805923,0.1475636,0.008285848,0.005132098,0.11253,0.0188684,0.0009722363,0.00432933],"genre_scores_gemma":[0.3146288,0.1529508,0.2574878,0.007965996,0.002739883,0.2529248,0.00755538,0.0006502126,0.003096242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8657963,"threshold_uncertainty_score":0.7097452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5883216146352902,"score_gpt":0.5237753221270584,"score_spread":0.06454629250823185,"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."}}