{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03278087,0.002128584,0.004387283,0.007166299,0.002245473,0.003837125,0.004229687,0.003661128,0.009200376],"category_scores_gemma":[0.1559082,0.001238213,0.004831695,0.004514145,0.004524328,0.006175784,0.00499805,0.005155955,0.00231378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124004,"about_ca_system_score_gemma":0.002318718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196397,"about_ca_topic_score_gemma":0.0006229031,"domain_scores_codex":[0.9497714,0.02240684,0.003056876,0.01263189,0.01062155,0.001511462],"domain_scores_gemma":[0.8403277,0.1305806,0.007509566,0.01153973,0.00808691,0.001955467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004594701,0.0008288072,0.1618858,0.001055897,0.004680486,0.003220261,0.001115354,0.1203835,0.02025078,0.1204393,0.008669792,0.5528753],"study_design_scores_gemma":[0.0003945074,0.001330084,0.03254438,0.0001388325,0.0007751302,0.002697382,0.0004320334,0.7915661,0.0129304,0.1501989,0.006605287,0.0003868703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06288709,0.0003631787,0.9310912,0.0003459152,0.0001637726,0.0003762509,0.0005026718,0.001058343,0.003211583],"genre_scores_gemma":[0.7067683,0.000229452,0.2855908,0.0003851279,0.0003450804,0.001200994,0.002478441,0.0006247062,0.002377078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03278087,"threshold_uncertainty_score":0.1733639,"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."}}