{"id":"W4389708500","doi":"10.48550/arxiv.2312.06415","title":"Bioequivalence Design with Sampling Distribution Segments","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power (physics); Computer science; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.03169822,0.001417928,0.002455071,0.001846964,0.0007319092,0.001993133,0.002226893,0.002722157,0.007637565],"category_scores_gemma":[0.09663534,0.001132343,0.002505311,0.001598109,0.002041996,0.003478065,0.002683722,0.004575879,0.001307256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157795,"about_ca_system_score_gemma":0.002714057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982824,"about_ca_topic_score_gemma":0.001251239,"domain_scores_codex":[0.9820167,0.01428177,0.0005084958,0.001378666,0.001508098,0.0003061446],"domain_scores_gemma":[0.9169523,0.0716916,0.002711048,0.005838349,0.002269947,0.0005366849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004267444,0.0005897816,0.009901522,0.0007610143,0.0006488612,0.0005782953,0.00113204,0.5069872,0.004281075,0.1936099,0.0059278,0.271315],"study_design_scores_gemma":[0.0004167725,0.0006775068,0.001128658,0.0001257748,0.0001163818,0.0001358196,0.0000627758,0.8430452,0.002769596,0.1446909,0.006775721,0.00005493846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007416098,0.0001831007,0.990301,0.0001787933,0.0000401271,0.0005517742,0.0001214032,0.000451423,0.0007564063],"genre_scores_gemma":[0.2514015,0.0004147138,0.7390565,0.0005523746,0.000126299,0.004690286,0.00093723,0.0004049386,0.00241625],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03169822,"threshold_uncertainty_score":0.1676382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1710439296218267,"score_gpt":0.2254823545260222,"score_spread":0.05443842490419551,"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."}}