{"id":"W4416027284","doi":"10.1016/j.yhbeh.2025.105848","title":"Editorial: The most common mistake involving the use of correlations","year":2025,"lang":"en","type":"editorial","venue":"Hormones and Behavior","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University; Brock University","funders":"","keywords":"Mistake","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02719352,0.0003840352,0.002624136,0.0001859398,0.0005617022,0.001805188,0.001949921,0.0005061041,0.0003739823],"category_scores_gemma":[0.0323737,0.0001321118,0.001133323,0.0009949288,0.0002273525,0.0001811359,0.0003323377,0.0007073584,0.00005833149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002343884,"about_ca_system_score_gemma":0.0002094857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004981446,"about_ca_topic_score_gemma":0.0004687887,"domain_scores_codex":[0.9837947,0.003735368,0.005759797,0.0006804007,0.005824877,0.0002048842],"domain_scores_gemma":[0.9604876,0.02810249,0.004933971,0.00402721,0.002367639,0.00008106809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004794716,0.00004234784,0.001282213,0.00002752574,0.00006652004,8.057036e-7,0.0002064625,0.000006196036,0.000009911288,0.0001450375,0.9934667,0.004741468],"study_design_scores_gemma":[0.00009124963,0.00002592326,0.002228089,0.00006940401,0.002069806,7.387922e-7,0.0003646773,0.0002055918,9.967682e-7,0.0001439656,0.9946638,0.0001357522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001793983,0.003781606,0.0001347151,0.0003156545,0.9921696,0.001039754,0.0005214001,0.000005100636,0.0002382038],"genre_scores_gemma":[0.001510133,0.0006983874,0.0001817242,0.00004500607,0.9691743,0.0002017432,0.0001654925,0.00002082011,0.02800241],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02776421,"threshold_uncertainty_score":0.999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.514853103988142,"score_gpt":0.4682853675963659,"score_spread":0.04656773639177614,"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."}}