{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7759338,0.0003187103,0.007104272,0.00102469,0.0006048412,0.0007901749,0.004999908,0.0001333306,0.003650146],"category_scores_gemma":[0.6216972,0.00009392159,0.008185954,0.008293189,0.001493218,0.0001423519,0.0007802941,0.000479014,0.0002240486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223202,"about_ca_system_score_gemma":0.00007922689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110006,"about_ca_topic_score_gemma":0.00005138699,"domain_scores_codex":[0.5511643,0.428912,0.00632775,0.001337767,0.01162012,0.0006381425],"domain_scores_gemma":[0.2062486,0.7694965,0.005069376,0.01491007,0.003878465,0.0003970281],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005695633,0.0002090729,0.006474621,0.0003864783,0.3734724,0.000002446181,0.006061129,0.0005566988,0.004294211,0.325495,0.03979464,0.2431964],"study_design_scores_gemma":[0.0004926079,0.00004719596,0.009609896,0.00004026154,0.2564122,0.00000919733,0.005363363,0.07931301,0.02572879,0.3159884,0.3067765,0.0002186268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01469055,0.01170031,0.8344901,0.01065739,0.0002227457,0.00297788,0.00003896733,0.00001487936,0.1252072],"genre_scores_gemma":[0.6576089,0.0003929834,0.2990758,0.0003910236,0.0001441147,0.0004966732,7.341315e-7,0.00004454363,0.0418453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6429183,"threshold_uncertainty_score":0.9972606,"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."}}