{"id":"W4387561820","doi":"10.5281/zenodo.8436218","title":"Lessons in Statistics from ChatGPT","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Statistics; Mathematics","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":[0.01678727,0.001344504,0.000734632,0.001675016,0.001715075,0.005738629,0.003226584,0.002552887,0.02708301],"category_scores_gemma":[0.1022384,0.0008705346,0.001147003,0.001649534,0.004624588,0.01683886,0.004840476,0.006554409,0.01315896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942611,"about_ca_system_score_gemma":0.003049458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232732,"about_ca_topic_score_gemma":0.003507013,"domain_scores_codex":[0.9877412,0.007651926,0.0005837003,0.001072681,0.002598074,0.0003524414],"domain_scores_gemma":[0.8795354,0.1039149,0.001075479,0.006645716,0.006624566,0.002203952],"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":[0.0002488978,0.0001988816,0.002208467,0.0008361636,0.00003517056,0.0008676316,0.01088825,0.008380893,0.002205379,0.2342594,0.3836486,0.3562223],"study_design_scores_gemma":[0.00007086043,0.0001418027,0.0008897376,0.0004387313,0.00001360963,0.0009391266,0.002097949,0.02408519,0.003158671,0.361311,0.6067458,0.0001076201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.009047679,0.002420099,0.7684528,0.129875,0.003364871,0.0002569465,0.00186348,0.02351025,0.06120894],"genre_scores_gemma":[0.2458436,0.005104062,0.589416,0.03349482,0.0072401,0.00125133,0.005985705,0.02605898,0.08560542],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9832127,"threshold_uncertainty_score":0.09060168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09133719395991477,"score_gpt":0.3496992625594677,"score_spread":0.2583620685995529,"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."}}