{"id":"W4394578877","doi":"10.1111/oik.10722","title":"Coordinated distributed experiments in ecology do not consistently reduce heterogeneity in effect size","year":2024,"lang":"en","type":"article","venue":"Oikos","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Study heterogeneity; Spatial heterogeneity; Sample size determination; Meta-analysis; Pairwise comparison; Statistics; Ecology; Variance (accounting); Contrast (vision); Econometrics; Biology; Mathematics; Computer science; Confidence interval; Economics","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":["metaresearch"],"category_scores_codex":[0.3786438,0.004422061,0.008398483,0.007468938,0.002517908,0.008016365,0.00679813,0.004058786,0.00388432],"category_scores_gemma":[0.6024619,0.002522008,0.02721757,0.007494578,0.00855528,0.007819932,0.006365096,0.005799559,0.0006209793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003283212,"about_ca_system_score_gemma":0.00405874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949247,"about_ca_topic_score_gemma":0.005467166,"domain_scores_codex":[0.4086901,0.4519071,0.06004337,0.05300432,0.02383092,0.002524361],"domain_scores_gemma":[0.2235553,0.6531522,0.03469543,0.07915737,0.007846351,0.001593375],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.00377881,0.0003377382,0.05851727,0.03764434,0.7931961,0.001176241,0.002531112,0.008300506,0.008910422,0.009908021,0.005063358,0.0706361],"study_design_scores_gemma":[0.009350569,0.004922383,0.1626529,0.01385824,0.5780063,0.001093684,0.001959025,0.02771866,0.01570963,0.1483487,0.0352852,0.001094762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1945422,0.1245612,0.6314934,0.009405562,0.00712495,0.01122186,0.005489712,0.004281333,0.01187978],"genre_scores_gemma":[0.790933,0.00330288,0.1912933,0.004359843,0.0004940797,0.006739481,0.001539186,0.0008336753,0.0005045562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6213562,"threshold_uncertainty_score":0.7662428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387286772711984,"score_gpt":0.2943572522591199,"score_spread":0.2704843845320001,"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."}}