{"id":"W2096851309","doi":"10.1002/jrsm.1118","title":"Meta‐analysis and the reversed <scp>Theorem of the Means</scp>","year":2014,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Custom Security Industries (Canada)","funders":"","keywords":"Harmonic mean; Geometric mean; Mathematics; Weighted geometric mean; Weighted arithmetic mean; Estimator; Reciprocal; Statistics; Logarithmic mean; Variance (accounting); Logarithm; Inequality of arithmetic and geometric means; Population mean; Inequality; Mathematical analysis","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":[0.1758635,0.002468645,0.008637798,0.007716847,0.001349979,0.005215077,0.005168803,0.004708323,0.007156823],"category_scores_gemma":[0.297814,0.001408514,0.01126452,0.009898059,0.01037486,0.006479233,0.003552899,0.01081798,0.002577154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004197229,"about_ca_system_score_gemma":0.005414493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886203,"about_ca_topic_score_gemma":0.002170841,"domain_scores_codex":[0.8245516,0.136944,0.008807416,0.01014088,0.01888075,0.0006753044],"domain_scores_gemma":[0.7185254,0.2473529,0.007736047,0.01875251,0.007323246,0.0003099543],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006159166,0.00004192048,0.001209705,0.01421071,0.01617151,0.0004492911,0.0004507612,0.01177396,0.0004152296,0.7090344,0.03403709,0.2115894],"study_design_scores_gemma":[0.0003848146,0.0002361558,0.0007051036,0.002261278,0.003461434,0.0005946782,0.00004245977,0.009349738,0.0008182802,0.9343134,0.04768857,0.0001441396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001156921,0.08415095,0.8753319,0.02031567,0.006274625,0.000665418,0.001498065,0.0004646753,0.01014178],"genre_scores_gemma":[0.1043327,0.08297395,0.7526983,0.03166145,0.01242357,0.008672249,0.001164976,0.0007141813,0.005358639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8241365,"threshold_uncertainty_score":0.930066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8660683662286599,"score_gpt":0.627244256426351,"score_spread":0.2388241098023089,"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."}}