{"id":"W4407313546","doi":"10.32942/x2pw5p","title":"Harnessing meta-analyses’ insights in ecology and evolution research","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Ecology; Evolutionary ecology; Geography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.3689056,0.006101603,0.009847113,0.03863335,0.002493428,0.0196029,0.007383837,0.006542382,0.006880209],"category_scores_gemma":[0.6884482,0.004200253,0.02156622,0.0285841,0.006148142,0.02146203,0.01255068,0.01273228,0.001559656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00472968,"about_ca_system_score_gemma":0.01295064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002910432,"about_ca_topic_score_gemma":0.006775098,"domain_scores_codex":[0.6181996,0.3290631,0.02495916,0.0117958,0.01492788,0.001054451],"domain_scores_gemma":[0.2099414,0.7028494,0.02071768,0.05209716,0.01294929,0.001445159],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008315361,0.0001846818,0.01942331,0.1150918,0.1749658,0.001516354,0.01230649,0.02409725,0.003795375,0.215978,0.04977639,0.3820331],"study_design_scores_gemma":[0.000472909,0.0002882174,0.005895507,0.03943782,0.03785639,0.0006208925,0.001995274,0.02576472,0.003252795,0.7842388,0.09945972,0.0007170959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004974488,0.09579746,0.8373318,0.04502399,0.005027072,0.001483677,0.003126586,0.003286663,0.003948224],"genre_scores_gemma":[0.08388929,0.03817462,0.8614777,0.007649214,0.002553575,0.002964042,0.0009178604,0.001756314,0.0006173609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6310945,"threshold_uncertainty_score":0.7782518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2964552496414569,"score_gpt":0.4578056958481105,"score_spread":0.1613504462066537,"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."}}