{"id":"W4388201598","doi":"10.3390/sym15111975","title":"Combination Test for Mean Shift and Variance Change","year":2023,"lang":"en","type":"article","venue":"Symmetry","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Variance (accounting); Statistics; Point (geometry); Time point; Mathematics; Analysis of variance; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005640995,0.00007075482,0.000093418,0.00009914355,0.00008839956,0.00007167515,0.0002222168,0.00005536942,0.00000101598],"category_scores_gemma":[0.00009826318,0.00006555075,0.00002528788,0.0004372904,0.00001619582,0.0002461416,0.0001011504,0.00005702776,0.00001457065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008965505,"about_ca_system_score_gemma":0.00001048773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008881542,"about_ca_topic_score_gemma":0.000003577142,"domain_scores_codex":[0.99937,0.00003302125,0.00008418043,0.0002438697,0.00009181,0.0001771238],"domain_scores_gemma":[0.9993688,0.0002921131,0.00003364493,0.0002243141,0.00002781702,0.00005334533],"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":[8.91194e-7,0.00001833338,0.0003638559,0.00003011197,0.00000356903,0.000002319737,0.0006588223,4.629594e-8,0.0001514704,0.7548757,0.001030975,0.242864],"study_design_scores_gemma":[0.0006219264,0.0001615633,0.03906604,0.00003336065,0.000008147241,0.000005702305,0.00001414097,0.07610366,0.00107379,0.876856,0.005821106,0.0002345583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001403375,0.0001251913,0.9934534,0.003182999,0.0003513286,0.0002213347,0.00000689735,0.0001718886,0.001083577],"genre_scores_gemma":[0.667616,0.00003079996,0.3308606,0.0007969994,0.0001493262,0.00007838906,0.000005448061,0.00001098389,0.0004513751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6662127,"threshold_uncertainty_score":0.2673082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04072464152424995,"score_gpt":0.2968720769037123,"score_spread":0.2561474353794624,"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."}}