{"id":"W4388188705","doi":"10.1002/cjs.11797","title":"Fused mean structure learning in data integration with dependence","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Oracle; Computer science; Pairwise comparison; Inference; Sensor fusion; Flexibility (engineering); Machine learning; Artificial intelligence; Data mining; Mathematics; Mathematical optimization; Algorithm; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.03674891,0.001160723,0.002847201,0.00208399,0.0007372459,0.002373431,0.00425116,0.002212996,0.002059755],"category_scores_gemma":[0.08007029,0.001234372,0.002157536,0.002960414,0.002884914,0.00409488,0.004950914,0.003846426,0.0004417207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189017,"about_ca_system_score_gemma":0.002307637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005146389,"about_ca_topic_score_gemma":0.004451988,"domain_scores_codex":[0.9881459,0.007670101,0.0005203134,0.00204345,0.001282265,0.0003380514],"domain_scores_gemma":[0.954843,0.03401013,0.002756665,0.005322124,0.002501932,0.0005662328],"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":[0.0005567094,0.0002287156,0.01336787,0.0004314865,0.001305301,0.0003831228,0.0004787877,0.6620893,0.003056539,0.1294206,0.003048672,0.1856327],"study_design_scores_gemma":[0.00002639515,0.000060922,0.0009971276,0.00003348269,0.00006270757,0.00004094934,0.00001895783,0.9154397,0.0007398002,0.08188579,0.0006734108,0.00002075616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01051675,0.0002736922,0.9882725,0.0002997424,0.00001672953,0.00003644864,0.00007970566,0.0002338677,0.000270516],"genre_scores_gemma":[0.4924077,0.0003396068,0.503459,0.000553719,0.0001499876,0.0003112011,0.0008650923,0.0002319372,0.001681819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03674891,"threshold_uncertainty_score":0.1943492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15212768978526,"score_gpt":0.3509040093884935,"score_spread":0.1987763196032335,"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."}}