{"id":"W4403047690","doi":"10.1111/2041-210x.14415","title":"Transparent reporting items for simulation studies evaluating statistical methods: Foundations for reproducibility and reliability","year":2024,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Health and Medical Research Council; Australian Research Council; Medical Research Council","keywords":"Reproducibility; Reliability (semiconductor); Computer science; Statistics; Reliability engineering; Data mining; Data science; Mathematics; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.02165561,0.00009244458,0.0002258867,0.00003468333,0.0002601831,0.00002237721,0.00002977573,0.00009104836,0.000232411],"category_scores_gemma":[0.03185438,0.00008463523,0.00003769267,0.0001433953,0.0002785817,0.000140514,0.00004877411,0.00008913982,0.000001526041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006618155,"about_ca_system_score_gemma":0.00001625674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003865081,"about_ca_topic_score_gemma":0.0002512585,"domain_scores_codex":[0.9975863,0.0006830575,0.0006828135,0.000785131,0.00006342136,0.0001992691],"domain_scores_gemma":[0.994309,0.005249743,0.0001586343,0.0002049974,0.00004240026,0.00003518687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003077027,0.0002238437,0.5168185,0.001067624,0.00006635765,0.000001340741,0.00399517,0.01833926,0.01011893,0.0134181,0.0004386897,0.4352045],"study_design_scores_gemma":[0.0001955172,0.0001397572,0.5951081,0.00001244987,0.00005447295,0.000002862824,0.001043949,0.3241571,0.0001397585,0.07777473,0.001286691,0.00008466459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3260471,0.0004298782,0.6719055,0.0004904824,0.000369035,0.0006179151,0.00003555325,0.00003205738,0.00007249889],"genre_scores_gemma":[0.5482959,0.00003743235,0.4512381,0.00002206434,0.00002395346,0.0003086319,0.00003509808,0.000004967819,0.00003383228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4351199,"threshold_uncertainty_score":0.9763007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3424685751661453,"score_gpt":0.5694104033077982,"score_spread":0.2269418281416529,"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."}}