{"id":"W2058108606","doi":"10.1007/s11135-011-9452-y","title":"Reporting missing data: a study of selected articles published from 2003–2007","year":2011,"lang":"en","type":"article","venue":"Quality & Quantity","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Missing data; Empirical research; Consistency (knowledge bases); Set (abstract data type); Psychology; Medicine; Computer science; Statistics; Mathematics; Artificial intelligence","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":[0.06455773,0.000960449,0.003861813,0.06018976,0.001317517,0.006420122,0.002533711,0.003136287,0.005266697],"category_scores_gemma":[0.4087529,0.001280536,0.005685624,0.07992793,0.001981473,0.004542761,0.002197383,0.001347996,0.0008493779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696894,"about_ca_system_score_gemma":0.0143046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007243667,"about_ca_topic_score_gemma":0.01274343,"domain_scores_codex":[0.9050427,0.02665639,0.04510281,0.005056901,0.01653065,0.001610611],"domain_scores_gemma":[0.2934584,0.5567063,0.09997062,0.01170337,0.03623461,0.001926622],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.006090424,0.0002697356,0.2081311,0.4746013,0.0519099,0.003327782,0.01566702,0.0006464435,0.001172831,0.002658846,0.03867724,0.1968475],"study_design_scores_gemma":[0.001654959,0.0008073367,0.3638805,0.3059154,0.1097423,0.005534728,0.01427555,0.0004108552,0.002522284,0.003172293,0.1917475,0.000336292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1007574,0.8239402,0.00245476,0.004990053,0.001101854,0.000928813,0.06019934,0.00007015707,0.005557434],"genre_scores_gemma":[0.5451372,0.3996296,0.009826645,0.005717141,0.00225264,0.002706298,0.03247834,0.0002557218,0.001996398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9354423,"threshold_uncertainty_score":0.341418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7002650406185921,"score_gpt":0.5250751842288542,"score_spread":0.1751898563897378,"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."}}