{"id":"W4404420616","doi":"10.1016/j.neuchi.2024.101610","title":"Lies, damned lies, and statistical populations","year":2024,"lang":"en","type":"editorial","venue":"Neurochirurgie","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta Hospital; Health Sciences Centre; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine","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":[],"category_scores_codex":[0.0245886,0.004399326,0.005769531,0.008009516,0.004150297,0.009684955,0.005777904,0.02828834,0.01074913],"category_scores_gemma":[0.1243469,0.002429811,0.003992822,0.004026154,0.007765359,0.007246143,0.002302048,0.03417019,0.006420469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005564664,"about_ca_system_score_gemma":0.00611941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00843918,"about_ca_topic_score_gemma":0.01874937,"domain_scores_codex":[0.9852895,0.006530426,0.002085798,0.00116805,0.004612232,0.0003139466],"domain_scores_gemma":[0.8855565,0.09279484,0.002200096,0.002217851,0.01474451,0.002486212],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002097125,0.000007382304,0.0000184845,0.0002929706,0.00004806606,0.00004861586,0.000018534,0.00005818284,0.000008839608,0.002812171,0.9939793,0.002686552],"study_design_scores_gemma":[0.0002218524,0.0000247223,0.00039177,0.002353812,0.000269162,0.0002746752,0.00008425024,0.001313885,0.00007958189,0.04334101,0.9515628,0.00008242246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001671676,0.02012465,0.0006920145,0.06653196,0.9116027,0.00001385122,0.000113721,0.00005052581,0.000853985],"genre_scores_gemma":[0.0003932471,0.00724773,0.0004008423,0.02592387,0.961464,0.00003581357,0.00003001376,0.00004261785,0.00446188],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9754114,"threshold_uncertainty_score":0.1300385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1353688632056249,"score_gpt":0.4369960225891207,"score_spread":0.3016271593834958,"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."}}