{"id":"W1847218062","doi":"10.6084/m9.figshare.5485024","title":"Reverse-Inference for Meta-Analysis: Predicting Study Type with a Fully Bayesian Spatial Model","year":2017,"lang":"en","type":"article","venue":"","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayesian inference; Inference; Biostatistics; Bayesian statistics; Statistics; Meta-analysis; Bayesian probability; Psychology; Computer science; Artificial intelligence; Mathematics; Medicine; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.274817,0.005743991,0.01354374,0.006987436,0.002249207,0.007024553,0.008841845,0.007450245,0.01294037],"category_scores_gemma":[0.5682005,0.00526397,0.02105429,0.009023818,0.003835621,0.006842074,0.006732628,0.01092395,0.003288757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002636259,"about_ca_system_score_gemma":0.006251462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009248558,"about_ca_topic_score_gemma":0.01183821,"domain_scores_codex":[0.6519019,0.3177404,0.009756953,0.01524677,0.004506791,0.0008472397],"domain_scores_gemma":[0.301409,0.6564639,0.007510341,0.0297715,0.003663886,0.001181509],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01611828,0.0005325329,0.03465187,0.02379275,0.1796976,0.001939161,0.001778236,0.19615,0.00231378,0.08029952,0.04122581,0.4215004],"study_design_scores_gemma":[0.005289052,0.0008033782,0.003778836,0.002284385,0.04074232,0.0008288786,0.0001427625,0.4559803,0.001330764,0.4762395,0.01224312,0.0003367389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005247246,0.008034276,0.9767081,0.003051609,0.0007171475,0.001046242,0.002773276,0.001720809,0.0007012681],"genre_scores_gemma":[0.2147896,0.003635797,0.7641211,0.003158243,0.00109893,0.005713976,0.004410475,0.001103464,0.001968356],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.725183,"threshold_uncertainty_score":0.8942798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.850866116051344,"score_gpt":0.5697063375070112,"score_spread":0.2811597785443328,"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."}}