{"id":"W287548508","doi":"10.1002/cjs.5550340203","title":"A class of sequential tests for two‐sample composite hypotheses","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Alberta","funders":"","keywords":"Statistics; Mathematics; Binomial (polynomial); Statistical hypothesis testing; Test (biology); Sample size determination; Algorithm; Applied mathematics; Combinatorics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001534947,0.0001637185,0.0007202702,0.0001978846,0.00009154925,0.00005000871,0.0003015787,0.00009713492,0.0002113728],"category_scores_gemma":[0.06002578,0.0001501167,0.0001330495,0.0001437504,0.0003334192,0.00004861497,0.00001248309,0.0002177386,0.000002482238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131364,"about_ca_system_score_gemma":0.0009755379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917443,"about_ca_topic_score_gemma":0.01155031,"domain_scores_codex":[0.9974767,0.0002521658,0.001478153,0.0001343412,0.0002887317,0.0003698891],"domain_scores_gemma":[0.9487408,0.04887752,0.0009282795,0.0002029506,0.000833344,0.0004170877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001366374,0.0001070328,0.002610235,0.0002935741,0.0001629036,0.0001455452,0.00008533093,0.0001342656,0.001485896,0.9332988,0.05324007,0.008299665],"study_design_scores_gemma":[0.00133057,0.0003718919,0.001222012,0.0001287536,0.0002473776,0.00004323702,0.00002327884,0.0004064027,0.001243379,0.9913114,0.003514801,0.0001568645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01020187,0.000067393,0.9792106,0.0001540819,0.0008076874,0.0002831462,0.008768274,0.000006320677,0.0005006804],"genre_scores_gemma":[0.1383011,0.000003003207,0.8610001,0.00007291185,0.0005020385,0.000003613841,0.000007285327,0.00003614556,0.00007376831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1280993,"threshold_uncertainty_score":0.947892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4673909021571956,"score_gpt":0.4983513644980147,"score_spread":0.03096046234081906,"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."}}