{"id":"W4389063115","doi":"10.51387/23-nejsds13edi","title":"Editorial. Design and Analysis of Experiments for Data Science","year":2023,"lang":"en","type":"article","venue":"The New England Journal of Statistics in Data Science","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Data science; Statistical analysis; New england; Library science; Computer science; Statistics; Political science; Mathematics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.02532889,0.006058188,0.007888233,0.00692298,0.00403244,0.008460451,0.004613293,0.01193326,0.02772077],"category_scores_gemma":[0.1171893,0.002630734,0.004601713,0.003432728,0.003342129,0.004147632,0.001105963,0.01996491,0.02276069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406385,"about_ca_system_score_gemma":0.005247454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178295,"about_ca_topic_score_gemma":0.002389005,"domain_scores_codex":[0.9847865,0.003973334,0.003155733,0.001720377,0.0058128,0.0005513225],"domain_scores_gemma":[0.8495863,0.08654568,0.007612037,0.003887394,0.04617837,0.00619025],"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":[0.0001207454,0.00001855415,0.00002287379,0.0006802916,0.00004770113,0.00005493729,0.000009095814,0.00005854428,0.00007686244,0.0003280338,0.9915335,0.007048923],"study_design_scores_gemma":[0.0006610163,0.0002094,0.0009115502,0.001887754,0.0003882534,0.0005459324,0.00007126276,0.0010041,0.0004948307,0.004587024,0.9891545,0.00008447334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002182438,0.002567542,0.0004786335,0.005563515,0.9906449,0.0000485972,0.0001429516,0.00008944797,0.0004426104],"genre_scores_gemma":[0.0005605885,0.005081919,0.001083546,0.01031762,0.9758459,0.0002162417,0.0001645309,0.0001290312,0.006600507],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02772077,"threshold_uncertainty_score":0.1339536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3924864198357598,"score_gpt":0.5391577650210972,"score_spread":0.1466713451853375,"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."}}